[{"conference":{"name":"HSB: Hybrid Systems Biology","start_date":"2015-09-04","location":"Madrid, Spain","end_date":"2015-09-05"},"language":[{"iso":"eng"}],"oa_version":"Preprint","project":[{"_id":"25681D80-B435-11E9-9278-68D0E5697425","call_identifier":"FP7","grant_number":"291734","name":"International IST Postdoc Fellowship Programme"}],"month":"01","main_file_link":[{"open_access":"1","url":"http://arxiv.org/abs/1501.00440"}],"user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","status":"public","oa":1,"publist_id":"5649","date_published":"2016-01-10T00:00:00Z","type":"conference","publisher":"Springer","page":"173 - 191","ec_funded":1,"quality_controlled":"1","publication_status":"published","date_created":"2018-12-11T11:52:31Z","department":[{"_id":"CaGu"},{"_id":"ToHe"}],"title":"Efficient reduction of kappa models by static inspection of the rule-set","alternative_title":["LNCS"],"intvolume":"      9271","_id":"1524","scopus_import":1,"author":[{"first_name":"Andreea","last_name":"Beica","full_name":"Beica, Andreea"},{"first_name":"Calin C","last_name":"Guet","orcid":"0000-0001-6220-2052","full_name":"Guet, Calin C","id":"47F8433E-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Petrov, Tatjana","orcid":"0000-0002-9041-0905","last_name":"Petrov","first_name":"Tatjana","id":"3D5811FC-F248-11E8-B48F-1D18A9856A87"}],"acknowledgement":"This research was supported by the People Programme (Marie Curie Actions) of the European Union’s Seventh Framework Programme (FP7/2007-2013) under REA grant agreement no. 291734, and the SNSF Early Postdoc.Mobility Fellowship, the grant number P2EZP2_148797.","volume":9271,"doi":"10.1007/978-3-319-26916-0_10","day":"10","abstract":[{"text":"When designing genetic circuits, the typical primitives used in major existing modelling formalisms are gene interaction graphs, where edges between genes denote either an activation or inhibition relation. However, when designing experiments, it is important to be precise about the low-level mechanistic details as to how each such relation is implemented. The rule-based modelling language Kappa allows to unambiguously specify mechanistic details such as DNA binding sites, dimerisation of transcription factors, or co-operative interactions. Such a detailed description comes with complexity and computationally costly executions. We propose a general method for automatically transforming a rule-based program, by eliminating intermediate species and adjusting the rate constants accordingly. To the best of our knowledge, we show the first automated reduction of rule-based models based on equilibrium approximations.\r\nOur algorithm is an adaptation of an existing algorithm, which was designed for reducing reaction-based programs; our version of the algorithm scans the rule-based Kappa model in search for those interaction patterns known to be amenable to equilibrium approximations (e.g. Michaelis-Menten scheme). Additional checks are then performed in order to verify if the reduction is meaningful in the context of the full model. The reduced model is efficiently obtained by static inspection over the rule-set. The tool is tested on a detailed rule-based model of a λ-phage switch, which lists 92 rules and 13 agents. The reduced model has 11 rules and 5 agents, and provides a dramatic reduction in simulation time of several orders of magnitude.","lang":"eng"}],"date_updated":"2021-01-12T06:51:22Z","year":"2016","citation":{"ista":"Beica A, Guet CC, Petrov T. 2016. Efficient reduction of kappa models by static inspection of the rule-set. HSB: Hybrid Systems Biology, LNCS, vol. 9271, 173–191.","short":"A. Beica, C.C. Guet, T. Petrov, in:, Springer, 2016, pp. 173–191.","mla":"Beica, Andreea, et al. <i>Efficient Reduction of Kappa Models by Static Inspection of the Rule-Set</i>. Vol. 9271, Springer, 2016, pp. 173–91, doi:<a href=\"https://doi.org/10.1007/978-3-319-26916-0_10\">10.1007/978-3-319-26916-0_10</a>.","ieee":"A. Beica, C. C. Guet, and T. Petrov, “Efficient reduction of kappa models by static inspection of the rule-set,” presented at the HSB: Hybrid Systems Biology, Madrid, Spain, 2016, vol. 9271, pp. 173–191.","chicago":"Beica, Andreea, Calin C Guet, and Tatjana Petrov. “Efficient Reduction of Kappa Models by Static Inspection of the Rule-Set,” 9271:173–91. Springer, 2016. <a href=\"https://doi.org/10.1007/978-3-319-26916-0_10\">https://doi.org/10.1007/978-3-319-26916-0_10</a>.","apa":"Beica, A., Guet, C. C., &#38; Petrov, T. (2016). Efficient reduction of kappa models by static inspection of the rule-set (Vol. 9271, pp. 173–191). Presented at the HSB: Hybrid Systems Biology, Madrid, Spain: Springer. <a href=\"https://doi.org/10.1007/978-3-319-26916-0_10\">https://doi.org/10.1007/978-3-319-26916-0_10</a>","ama":"Beica A, Guet CC, Petrov T. Efficient reduction of kappa models by static inspection of the rule-set. In: Vol 9271. Springer; 2016:173-191. doi:<a href=\"https://doi.org/10.1007/978-3-319-26916-0_10\">10.1007/978-3-319-26916-0_10</a>"}},{"user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","status":"public","file":[{"checksum":"7219432b43defc62a0d45f48d4ce6a19","file_size":539166,"date_created":"2018-12-12T10:16:17Z","content_type":"application/pdf","file_name":"IST-2017-810-v1+1_root.pdf","date_updated":"2020-07-14T12:44:43Z","access_level":"local","relation":"main_file","creator":"system","file_id":"5203"}],"publist_id":"5950","type":"conference","date_published":"2016-07-28T00:00:00Z","conference":{"location":"Boston, MA, USA","end_date":"2016-07-08","name":"ACC: American Control Conference","start_date":"2016-07-06"},"language":[{"iso":"eng"}],"article_number":"7526722","month":"07","project":[{"name":"International IST Postdoc Fellowship Programme","grant_number":"291734","call_identifier":"FP7","_id":"25681D80-B435-11E9-9278-68D0E5697425"}],"oa_version":"Preprint","has_accepted_license":"1","ddc":["003","621"],"acknowledgement":"The research leading to these results has received funding from the People Programme (Marie Curie Actions) of the European Union's Seventh Framework Programme (FP7/2007-2013) under REA grant agreement n° [291734]. Work supported in part by grants AFOSR FA9550-14-1-0060 and NIH 1R01GM100473.","volume":"2016-July","abstract":[{"text":"In recent years, several biomolecular systems have been shown to be scale-invariant (SI), i.e. to show the same output dynamics when exposed to geometrically scaled input signals (u → pu, p &gt; 0) after pre-adaptation to accordingly scaled constant inputs. In this article, we show that SI systems-as well as systems invariant with respect to other input transformations-can realize nonlinear differential operators: when excited by inputs obeying functional forms characteristic for a given class of invariant systems, the systems' outputs converge to constant values directly quantifying the speed of the input.","lang":"eng"}],"day":"28","doi":"10.1109/ACC.2016.7526722","citation":{"ama":"Lang M, Sontag E. Scale-invariant systems realize nonlinear differential operators. In: Vol 2016-July. IEEE; 2016. doi:<a href=\"https://doi.org/10.1109/ACC.2016.7526722\">10.1109/ACC.2016.7526722</a>","apa":"Lang, M., &#38; Sontag, E. (2016). Scale-invariant systems realize nonlinear differential operators (Vol. 2016–July). Presented at the ACC: American Control Conference, Boston, MA, USA: IEEE. <a href=\"https://doi.org/10.1109/ACC.2016.7526722\">https://doi.org/10.1109/ACC.2016.7526722</a>","ieee":"M. Lang and E. Sontag, “Scale-invariant systems realize nonlinear differential operators,” presented at the ACC: American Control Conference, Boston, MA, USA, 2016, vol. 2016–July.","chicago":"Lang, Moritz, and Eduardo Sontag. “Scale-Invariant Systems Realize Nonlinear Differential Operators,” Vol. 2016–July. IEEE, 2016. <a href=\"https://doi.org/10.1109/ACC.2016.7526722\">https://doi.org/10.1109/ACC.2016.7526722</a>.","mla":"Lang, Moritz, and Eduardo Sontag. <i>Scale-Invariant Systems Realize Nonlinear Differential Operators</i>. Vol. 2016–July, 7526722, IEEE, 2016, doi:<a href=\"https://doi.org/10.1109/ACC.2016.7526722\">10.1109/ACC.2016.7526722</a>.","short":"M. Lang, E. Sontag, in:, IEEE, 2016.","ista":"Lang M, Sontag E. 2016. Scale-invariant systems realize nonlinear differential operators. ACC: American Control Conference vol. 2016–July, 7526722."},"year":"2016","date_updated":"2021-01-12T06:49:51Z","publisher":"IEEE","file_date_updated":"2020-07-14T12:44:43Z","quality_controlled":"1","ec_funded":1,"title":"Scale-invariant systems realize nonlinear differential operators","pubrep_id":"810","date_created":"2018-12-11T11:51:21Z","department":[{"_id":"CaGu"},{"_id":"GaTk"}],"publication_status":"published","author":[{"id":"29E0800A-F248-11E8-B48F-1D18A9856A87","full_name":"Lang, Moritz","first_name":"Moritz","last_name":"Lang"},{"first_name":"Eduardo","last_name":"Sontag","full_name":"Sontag, Eduardo"}],"scopus_import":1,"_id":"1320"},{"month":"01","article_number":"10333","oa_version":"Published Version","publication":"Nature Communications","has_accepted_license":"1","language":[{"iso":"eng"}],"publist_id":"5936","oa":1,"date_published":"2016-01-20T00:00:00Z","type":"journal_article","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"status":"public","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","file":[{"access_level":"open_access","relation":"main_file","creator":"system","file_id":"5039","checksum":"ef147bcbb8bd37e9079cf3ce06f5815d","file_size":1844107,"date_created":"2018-12-12T10:13:52Z","file_name":"IST-2016-662-v1+1_ncomms10333.pdf","content_type":"application/pdf","date_updated":"2020-07-14T12:44:44Z"}],"title":"Pervasive selection for and against antibiotic resistance in inhomogeneous multistress environments","pubrep_id":"662","intvolume":"         7","publication_status":"published","date_created":"2018-12-11T11:51:25Z","department":[{"_id":"CaGu"},{"_id":"GaTk"}],"author":[{"id":"3464AE84-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-0876-3187","full_name":"Chait, Remy P","first_name":"Remy P","last_name":"Chait"},{"last_name":"Palmer","first_name":"Adam","full_name":"Palmer, Adam"},{"full_name":"Yelin, Idan","last_name":"Yelin","first_name":"Idan"},{"last_name":"Kishony","first_name":"Roy","full_name":"Kishony, Roy"}],"_id":"1332","scopus_import":1,"publisher":"Nature Publishing Group","file_date_updated":"2020-07-14T12:44:44Z","quality_controlled":"1","abstract":[{"text":"Antibiotic-sensitive and -resistant bacteria coexist in natural environments with low, if detectable, antibiotic concentrations. Except possibly around localized antibiotic sources, where resistance can provide a strong advantage, bacterial fitness is dominated by stresses unaffected by resistance to the antibiotic. How do such mixed and heterogeneous conditions influence the selective advantage or disadvantage of antibiotic resistance? Here we find that sub-inhibitory levels of tetracyclines potentiate selection for or against tetracycline resistance around localized sources of almost any toxin or stress. Furthermore, certain stresses generate alternating rings of selection for and against resistance around a localized source of the antibiotic. In these conditions, localized antibiotic sources, even at high strengths, can actually produce a net selection against resistance to the antibiotic. Our results show that interactions between the effects of an antibiotic and other stresses in inhomogeneous environments can generate pervasive, complex patterns of selection both for and against antibiotic resistance.","lang":"eng"}],"doi":"10.1038/ncomms10333","day":"20","date_updated":"2021-01-12T06:49:57Z","year":"2016","citation":{"ista":"Chait RP, Palmer A, Yelin I, Kishony R. 2016. Pervasive selection for and against antibiotic resistance in inhomogeneous multistress environments. Nature Communications. 7, 10333.","mla":"Chait, Remy P., et al. “Pervasive Selection for and against Antibiotic Resistance in Inhomogeneous Multistress Environments.” <i>Nature Communications</i>, vol. 7, 10333, Nature Publishing Group, 2016, doi:<a href=\"https://doi.org/10.1038/ncomms10333\">10.1038/ncomms10333</a>.","short":"R.P. Chait, A. Palmer, I. Yelin, R. Kishony, Nature Communications 7 (2016).","ieee":"R. P. Chait, A. Palmer, I. Yelin, and R. Kishony, “Pervasive selection for and against antibiotic resistance in inhomogeneous multistress environments,” <i>Nature Communications</i>, vol. 7. Nature Publishing Group, 2016.","chicago":"Chait, Remy P, Adam Palmer, Idan Yelin, and Roy Kishony. “Pervasive Selection for and against Antibiotic Resistance in Inhomogeneous Multistress Environments.” <i>Nature Communications</i>. Nature Publishing Group, 2016. <a href=\"https://doi.org/10.1038/ncomms10333\">https://doi.org/10.1038/ncomms10333</a>.","ama":"Chait RP, Palmer A, Yelin I, Kishony R. Pervasive selection for and against antibiotic resistance in inhomogeneous multistress environments. <i>Nature Communications</i>. 2016;7. doi:<a href=\"https://doi.org/10.1038/ncomms10333\">10.1038/ncomms10333</a>","apa":"Chait, R. P., Palmer, A., Yelin, I., &#38; Kishony, R. (2016). Pervasive selection for and against antibiotic resistance in inhomogeneous multistress environments. <i>Nature Communications</i>. Nature Publishing Group. <a href=\"https://doi.org/10.1038/ncomms10333\">https://doi.org/10.1038/ncomms10333</a>"},"ddc":["570","579"],"acknowledgement":"This work was partially supported by US National Institutes of Health grant R01-GM081617, Israeli Centers of Research Excellence I-CORE Program ISF Grant No. 152/11, and the European Research Council FP7 ERC Grant 281891.","volume":7},{"language":[{"iso":"eng"}],"page":"1147 - 1151","quality_controlled":"1","publisher":"American Association for the Advancement of Science","author":[{"full_name":"Baym, Michael","last_name":"Baym","first_name":"Michael"},{"full_name":"Lieberman, Tami","last_name":"Lieberman","first_name":"Tami"},{"last_name":"Kelsic","first_name":"Eric","full_name":"Kelsic, Eric"},{"orcid":"0000-0003-0876-3187","full_name":"Chait, Remy P","first_name":"Remy P","last_name":"Chait","id":"3464AE84-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Rotem","last_name":"Gross","full_name":"Gross, Rotem"},{"first_name":"Idan","last_name":"Yelin","full_name":"Yelin, Idan"},{"first_name":"Roy","last_name":"Kishony","full_name":"Kishony, Roy"}],"issue":"6304","_id":"1342","publication":"Science","scopus_import":1,"title":"Spatiotemporal microbial evolution on antibiotic landscapes","month":"09","intvolume":"       353","oa_version":"Preprint","publication_status":"published","department":[{"_id":"CaGu"},{"_id":"GaTk"}],"date_created":"2018-12-11T11:51:29Z","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","status":"public","volume":353,"main_file_link":[{"open_access":"1","url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5534434/"}],"date_published":"2016-09-09T00:00:00Z","type":"journal_article","date_updated":"2021-01-12T06:50:01Z","year":"2016","citation":{"mla":"Baym, Michael, et al. “Spatiotemporal Microbial Evolution on Antibiotic Landscapes.” <i>Science</i>, vol. 353, no. 6304, American Association for the Advancement of Science, 2016, pp. 1147–51, doi:<a href=\"https://doi.org/10.1126/science.aag0822\">10.1126/science.aag0822</a>.","short":"M. Baym, T. Lieberman, E. Kelsic, R.P. Chait, R. Gross, I. Yelin, R. Kishony, Science 353 (2016) 1147–1151.","ista":"Baym M, Lieberman T, Kelsic E, Chait RP, Gross R, Yelin I, Kishony R. 2016. Spatiotemporal microbial evolution on antibiotic landscapes. Science. 353(6304), 1147–1151.","ama":"Baym M, Lieberman T, Kelsic E, et al. Spatiotemporal microbial evolution on antibiotic landscapes. <i>Science</i>. 2016;353(6304):1147-1151. doi:<a href=\"https://doi.org/10.1126/science.aag0822\">10.1126/science.aag0822</a>","apa":"Baym, M., Lieberman, T., Kelsic, E., Chait, R. P., Gross, R., Yelin, I., &#38; Kishony, R. (2016). Spatiotemporal microbial evolution on antibiotic landscapes. <i>Science</i>. American Association for the Advancement of Science. <a href=\"https://doi.org/10.1126/science.aag0822\">https://doi.org/10.1126/science.aag0822</a>","ieee":"M. Baym <i>et al.</i>, “Spatiotemporal microbial evolution on antibiotic landscapes,” <i>Science</i>, vol. 353, no. 6304. American Association for the Advancement of Science, pp. 1147–1151, 2016.","chicago":"Baym, Michael, Tami Lieberman, Eric Kelsic, Remy P Chait, Rotem Gross, Idan Yelin, and Roy Kishony. “Spatiotemporal Microbial Evolution on Antibiotic Landscapes.” <i>Science</i>. American Association for the Advancement of Science, 2016. <a href=\"https://doi.org/10.1126/science.aag0822\">https://doi.org/10.1126/science.aag0822</a>."},"abstract":[{"text":"A key aspect of bacterial survival is the ability to evolve while migrating across spatially varying environmental challenges. Laboratory experiments, however, often study evolution in well-mixed systems. Here, we introduce an experimental device, the microbial evolution and growth arena (MEGA)-plate, in which bacteria spread and evolved on a large antibiotic landscape (120 × 60 centimeters) that allowed visual observation of mutation and selection in a migrating bacterial front.While resistance increased consistently, multiple coexisting lineages diversified both phenotypically and genotypically. Analyzing mutants at and behind the propagating front,we found that evolution is not always led by the most resistant mutants; highly resistant mutants may be trapped behindmore sensitive lineages.TheMEGA-plate provides a versatile platformfor studying microbial adaption and directly visualizing evolutionary dynamics.","lang":"eng"}],"publist_id":"5911","oa":1,"doi":"10.1126/science.aag0822","day":"09"},{"ddc":["576"],"citation":{"ista":"Oliveto P, Paixao T, Heredia J, Sudholt D, Trubenova B. 2016. When non-elitism outperforms elitism for crossing fitness valleys. Proceedings of the Genetic and Evolutionary Computation Conference 2016 . GECCO: Genetic and evolutionary computation conference, 1163–1170.","mla":"Oliveto, Pietro, et al. “When Non-Elitism Outperforms Elitism for Crossing Fitness Valleys.” <i>Proceedings of the Genetic and Evolutionary Computation Conference 2016 </i>, ACM, 2016, pp. 1163–70, doi:<a href=\"https://doi.org/10.1145/2908812.2908909\">10.1145/2908812.2908909</a>.","short":"P. Oliveto, T. Paixao, J. Heredia, D. Sudholt, B. Trubenova, in:, Proceedings of the Genetic and Evolutionary Computation Conference 2016 , ACM, 2016, pp. 1163–1170.","ieee":"P. Oliveto, T. Paixao, J. Heredia, D. Sudholt, and B. Trubenova, “When non-elitism outperforms elitism for crossing fitness valleys,” in <i>Proceedings of the Genetic and Evolutionary Computation Conference 2016 </i>, Denver, CO, USA, 2016, pp. 1163–1170.","chicago":"Oliveto, Pietro, Tiago Paixao, Jorge Heredia, Dirk Sudholt, and Barbora Trubenova. “When Non-Elitism Outperforms Elitism for Crossing Fitness Valleys.” In <i>Proceedings of the Genetic and Evolutionary Computation Conference 2016 </i>, 1163–70. ACM, 2016. <a href=\"https://doi.org/10.1145/2908812.2908909\">https://doi.org/10.1145/2908812.2908909</a>.","ama":"Oliveto P, Paixao T, Heredia J, Sudholt D, Trubenova B. When non-elitism outperforms elitism for crossing fitness valleys. In: <i>Proceedings of the Genetic and Evolutionary Computation Conference 2016 </i>. ACM; 2016:1163-1170. doi:<a href=\"https://doi.org/10.1145/2908812.2908909\">10.1145/2908812.2908909</a>","apa":"Oliveto, P., Paixao, T., Heredia, J., Sudholt, D., &#38; Trubenova, B. (2016). When non-elitism outperforms elitism for crossing fitness valleys. In <i>Proceedings of the Genetic and Evolutionary Computation Conference 2016 </i> (pp. 1163–1170). Denver, CO, USA: ACM. <a href=\"https://doi.org/10.1145/2908812.2908909\">https://doi.org/10.1145/2908812.2908909</a>"},"year":"2016","date_updated":"2021-01-12T06:50:03Z","abstract":[{"text":"Crossing fitness valleys is one of the major obstacles to function optimization. In this paper we investigate how the structure of the fitness valley, namely its depth d and length ℓ, influence the runtime of different strategies for crossing these valleys. We present a runtime comparison between the (1+1) EA and two non-elitist nature-inspired algorithms, Strong Selection Weak Mutation (SSWM) and the Metropolis algorithm. While the (1+1) EA has to jump across the valley to a point of higher fitness because it does not accept decreasing moves, the non-elitist algorithms may cross the valley by accepting worsening moves. We show that while the runtime of the (1+1) EA algorithm depends critically on the length of the valley, the runtimes of the non-elitist algorithms depend crucially only on the depth of the valley. In particular, the expected runtime of both SSWM and Metropolis is polynomial in ℓ and exponential in d while the (1+1) EA is efficient only for valleys of small length. Moreover, we show that both SSWM and Metropolis can also efficiently optimize a rugged function consisting of consecutive valleys.","lang":"eng"}],"day":"20","doi":"10.1145/2908812.2908909","file_date_updated":"2020-07-14T12:44:45Z","quality_controlled":"1","ec_funded":1,"page":"1163 - 1170","publisher":"ACM","author":[{"full_name":"Oliveto, Pietro","first_name":"Pietro","last_name":"Oliveto"},{"id":"2C5658E6-F248-11E8-B48F-1D18A9856A87","last_name":"Paixao","first_name":"Tiago","full_name":"Paixao, Tiago","orcid":"0000-0003-2361-3953"},{"first_name":"Jorge","last_name":"Heredia","full_name":"Heredia, Jorge"},{"last_name":"Sudholt","first_name":"Dirk","full_name":"Sudholt, Dirk"},{"id":"42302D54-F248-11E8-B48F-1D18A9856A87","full_name":"Trubenova, Barbora","orcid":"0000-0002-6873-2967","last_name":"Trubenova","first_name":"Barbora"}],"scopus_import":1,"_id":"1349","pubrep_id":"650","title":"When non-elitism outperforms elitism for crossing fitness valleys","department":[{"_id":"NiBa"},{"_id":"CaGu"}],"date_created":"2018-12-11T11:51:31Z","publication_status":"published","status":"public","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","file":[{"date_updated":"2020-07-14T12:44:45Z","content_type":"application/pdf","file_name":"IST-2016-650-v1+1_p1163-oliveto.pdf","date_created":"2018-12-12T10:16:27Z","file_size":979026,"checksum":"a1896e39e4113f2711e46b435d5f3e69","file_id":"5214","creator":"system","relation":"main_file","access_level":"open_access"}],"type":"conference","date_published":"2016-07-20T00:00:00Z","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"publist_id":"5900","oa":1,"language":[{"iso":"eng"}],"conference":{"location":"Denver, CO, USA","end_date":"2016-07-24","name":"GECCO: Genetic and evolutionary computation conference","start_date":"2016-07-20"},"has_accepted_license":"1","publication":"Proceedings of the Genetic and Evolutionary Computation Conference 2016 ","month":"07","project":[{"grant_number":"618091","name":"Speed of Adaptation in Population Genetics and Evolutionary Computation","call_identifier":"FP7","_id":"25B1EC9E-B435-11E9-9278-68D0E5697425"}],"oa_version":"Published Version"},{"file":[{"creator":"system","file_id":"4919","access_level":"open_access","relation":"main_file","file_name":"IST-2016-627-v1+1_ncomms12307.pdf","content_type":"application/pdf","date_updated":"2020-07-14T12:44:46Z","checksum":"fe3f3a1526d180b29fe691ab11435b78","file_size":861805,"date_created":"2018-12-12T10:12:01Z"},{"date_created":"2018-12-12T10:12:02Z","checksum":"164864a1a675f3ad80e9917c27aba07f","file_size":1084703,"date_updated":"2020-07-14T12:44:46Z","content_type":"application/pdf","file_name":"IST-2016-627-v1+2_ncomms12307-s1.pdf","access_level":"open_access","relation":"main_file","file_id":"4920","creator":"system"}],"status":"public","related_material":{"record":[{"id":"6071","relation":"dissertation_contains","status":"public"}]},"user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"type":"journal_article","date_published":"2016-08-04T00:00:00Z","publist_id":"5887","oa":1,"language":[{"iso":"eng"}],"has_accepted_license":"1","publication":"Nature Communications","project":[{"_id":"25681D80-B435-11E9-9278-68D0E5697425","call_identifier":"FP7","name":"International IST Postdoc Fellowship Programme","grant_number":"291734"},{"_id":"25B07788-B435-11E9-9278-68D0E5697425","call_identifier":"FP7","grant_number":"250152","name":"Limits to selection in biology and in evolutionary computation"},{"grant_number":"P28844-B27","name":"Biophysics of information processing in gene regulation","_id":"254E9036-B435-11E9-9278-68D0E5697425","call_identifier":"FWF"}],"oa_version":"Published Version","article_number":"12307","month":"08","volume":7,"ddc":["576"],"citation":{"ista":"Friedlander T, Prizak R, Guet CC, Barton NH, Tkačik G. 2016. Intrinsic limits to gene regulation by global crosstalk. Nature Communications. 7, 12307.","mla":"Friedlander, Tamar, et al. “Intrinsic Limits to Gene Regulation by Global Crosstalk.” <i>Nature Communications</i>, vol. 7, 12307, Nature Publishing Group, 2016, doi:<a href=\"https://doi.org/10.1038/ncomms12307\">10.1038/ncomms12307</a>.","short":"T. Friedlander, R. Prizak, C.C. Guet, N.H. Barton, G. Tkačik, Nature Communications 7 (2016).","chicago":"Friedlander, Tamar, Roshan Prizak, Calin C Guet, Nicholas H Barton, and Gašper Tkačik. “Intrinsic Limits to Gene Regulation by Global Crosstalk.” <i>Nature Communications</i>. Nature Publishing Group, 2016. <a href=\"https://doi.org/10.1038/ncomms12307\">https://doi.org/10.1038/ncomms12307</a>.","ieee":"T. Friedlander, R. Prizak, C. C. Guet, N. H. Barton, and G. Tkačik, “Intrinsic limits to gene regulation by global crosstalk,” <i>Nature Communications</i>, vol. 7. Nature Publishing Group, 2016.","apa":"Friedlander, T., Prizak, R., Guet, C. C., Barton, N. H., &#38; Tkačik, G. (2016). Intrinsic limits to gene regulation by global crosstalk. <i>Nature Communications</i>. Nature Publishing Group. <a href=\"https://doi.org/10.1038/ncomms12307\">https://doi.org/10.1038/ncomms12307</a>","ama":"Friedlander T, Prizak R, Guet CC, Barton NH, Tkačik G. Intrinsic limits to gene regulation by global crosstalk. <i>Nature Communications</i>. 2016;7. doi:<a href=\"https://doi.org/10.1038/ncomms12307\">10.1038/ncomms12307</a>"},"year":"2016","date_updated":"2023-09-07T12:53:49Z","day":"04","doi":"10.1038/ncomms12307","abstract":[{"lang":"eng","text":"Gene regulation relies on the specificity of transcription factor (TF)–DNA interactions. Limited specificity may lead to crosstalk: a regulatory state in which a gene is either incorrectly activated due to noncognate TF–DNA interactions or remains erroneously inactive. As each TF can have numerous interactions with noncognate cis-regulatory elements, crosstalk is inherently a global problem, yet has previously not been studied as such. We construct a theoretical framework to analyse the effects of global crosstalk on gene regulation. We find that crosstalk presents a significant challenge for organisms with low-specificity TFs, such as metazoans. Crosstalk is not easily mitigated by known regulatory schemes acting at equilibrium, including variants of cooperativity and combinatorial regulation. Our results suggest that crosstalk imposes a previously unexplored global constraint on the functioning and evolution of regulatory networks, which is qualitatively distinct from the known constraints that act at the level of individual gene regulatory elements."}],"quality_controlled":"1","ec_funded":1,"file_date_updated":"2020-07-14T12:44:46Z","publisher":"Nature Publishing Group","scopus_import":1,"_id":"1358","author":[{"id":"36A5845C-F248-11E8-B48F-1D18A9856A87","first_name":"Tamar","last_name":"Friedlander","full_name":"Friedlander, Tamar"},{"id":"4456104E-F248-11E8-B48F-1D18A9856A87","full_name":"Prizak, Roshan","first_name":"Roshan","last_name":"Prizak"},{"id":"47F8433E-F248-11E8-B48F-1D18A9856A87","full_name":"Guet, Calin C","orcid":"0000-0001-6220-2052","last_name":"Guet","first_name":"Calin C"},{"first_name":"Nicholas H","last_name":"Barton","orcid":"0000-0002-8548-5240","full_name":"Barton, Nicholas H","id":"4880FE40-F248-11E8-B48F-1D18A9856A87"},{"id":"3D494DCA-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-6699-1455","full_name":"Tkacik, Gasper","first_name":"Gasper","last_name":"Tkacik"}],"department":[{"_id":"GaTk"},{"_id":"NiBa"},{"_id":"CaGu"}],"date_created":"2018-12-11T11:51:34Z","publication_status":"published","intvolume":"         7","title":"Intrinsic limits to gene regulation by global crosstalk","pubrep_id":"627"},{"abstract":[{"lang":"eng","text":"The role of gene interactions in the evolutionary process has long\r\nbeen controversial. Although some argue that they are not of\r\nimportance, because most variation is additive, others claim that\r\ntheir effect in the long term can be substantial. Here, we focus on\r\nthe long-term effects of genetic interactions under directional\r\nselection assuming no mutation or dominance, and that epistasis is\r\nsymmetrical overall. We ask by how much the mean of a complex\r\ntrait can be increased by selection and analyze two extreme\r\nregimes, in which either drift or selection dominate the dynamics\r\nof allele frequencies. In both scenarios, epistatic interactions affect\r\nthe long-term response to selection by modulating the additive\r\ngenetic variance. When drift dominates, we extend Robertson\r\n’\r\ns\r\n[Robertson A (1960)\r\nProc R Soc Lond B Biol Sci\r\n153(951):234\r\n−\r\n249]\r\nargument to show that, for any form of epistasis, the total response\r\nof a haploid population is proportional to the initial total genotypic\r\nvariance. In contrast, the total response of a diploid population is\r\nincreased by epistasis, for a given initial genotypic variance. When\r\nselection dominates, we show that the total selection response can\r\nonly be increased by epistasis when s\r\nome initially deleterious alleles\r\nbecome favored as the genetic background changes. We find a sim-\r\nple approximation for this effect and show that, in this regime, it is\r\nthe structure of the genotype - phenotype map that matters and not\r\nthe variance components of the population."}],"doi":"10.1073/pnas.1518830113","day":"19","external_id":{"pmid":["27044080"]},"date_updated":"2021-01-12T06:50:08Z","year":"2016","citation":{"apa":"Paixao, T., &#38; Barton, N. H. (2016). The effect of gene interactions on the long-term response to selection. <i>PNAS</i>. National Academy of Sciences. <a href=\"https://doi.org/10.1073/pnas.1518830113\">https://doi.org/10.1073/pnas.1518830113</a>","ama":"Paixao T, Barton NH. The effect of gene interactions on the long-term response to selection. <i>PNAS</i>. 2016;113(16):4422-4427. doi:<a href=\"https://doi.org/10.1073/pnas.1518830113\">10.1073/pnas.1518830113</a>","ieee":"T. Paixao and N. H. Barton, “The effect of gene interactions on the long-term response to selection,” <i>PNAS</i>, vol. 113, no. 16. National Academy of Sciences, pp. 4422–4427, 2016.","chicago":"Paixao, Tiago, and Nicholas H Barton. “The Effect of Gene Interactions on the Long-Term Response to Selection.” <i>PNAS</i>. National Academy of Sciences, 2016. <a href=\"https://doi.org/10.1073/pnas.1518830113\">https://doi.org/10.1073/pnas.1518830113</a>.","short":"T. Paixao, N.H. Barton, PNAS 113 (2016) 4422–4427.","mla":"Paixao, Tiago, and Nicholas H. Barton. “The Effect of Gene Interactions on the Long-Term Response to Selection.” <i>PNAS</i>, vol. 113, no. 16, National Academy of Sciences, 2016, pp. 4422–27, doi:<a href=\"https://doi.org/10.1073/pnas.1518830113\">10.1073/pnas.1518830113</a>.","ista":"Paixao T, Barton NH. 2016. The effect of gene interactions on the long-term response to selection. PNAS. 113(16), 4422–4427."},"volume":113,"title":"The effect of gene interactions on the long-term response to selection","intvolume":"       113","publication_status":"published","article_processing_charge":"No","date_created":"2018-12-11T11:51:34Z","department":[{"_id":"NiBa"},{"_id":"CaGu"}],"author":[{"id":"2C5658E6-F248-11E8-B48F-1D18A9856A87","first_name":"Tiago","last_name":"Paixao","orcid":"0000-0003-2361-3953","full_name":"Paixao, Tiago"},{"id":"4880FE40-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-8548-5240","full_name":"Barton, Nicholas H","first_name":"Nicholas H","last_name":"Barton"}],"issue":"16","pmid":1,"_id":"1359","scopus_import":1,"article_type":"original","publisher":"National Academy of Sciences","page":"4422 - 4427","quality_controlled":"1","ec_funded":1,"oa":1,"publist_id":"5886","date_published":"2016-04-19T00:00:00Z","type":"journal_article","status":"public","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","main_file_link":[{"open_access":"1","url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4843425/"}],"month":"04","oa_version":"Published Version","project":[{"name":"Limits to selection in biology and in evolutionary computation","grant_number":"250152","call_identifier":"FP7","_id":"25B07788-B435-11E9-9278-68D0E5697425"},{"_id":"25B1EC9E-B435-11E9-9278-68D0E5697425","call_identifier":"FP7","grant_number":"618091","name":"Speed of Adaptation in Population Genetics and Evolutionary Computation"}],"publication":"PNAS","language":[{"iso":"eng"}]},{"language":[{"iso":"eng"}],"month":"03","oa_version":"Published Version","project":[{"grant_number":"291734","name":"International IST Postdoc Fellowship Programme","call_identifier":"FP7","_id":"25681D80-B435-11E9-9278-68D0E5697425"}],"publication":"Molecular Biology and Evolution","has_accepted_license":"1","status":"public","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","file":[{"access_level":"open_access","relation":"main_file","creator":"system","file_id":"4751","checksum":"1f456ce1d2aa2f67176a1709f9702ecf","file_size":648115,"date_created":"2018-12-12T10:09:27Z","content_type":"application/pdf","file_name":"IST-2016-588-v1+1_Mol_Biol_Evol-2016-Lagator-761-9.pdf","date_updated":"2020-07-14T12:44:53Z"}],"publist_id":"5772","oa":1,"date_published":"2016-03-01T00:00:00Z","type":"journal_article","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"publisher":"Oxford University Press","file_date_updated":"2020-07-14T12:44:53Z","page":"761 - 769","quality_controlled":"1","ec_funded":1,"title":"Epistatic interactions in the arabinose cis-regulatory element","pubrep_id":"588","intvolume":"        33","publication_status":"published","date_created":"2018-12-11T11:51:57Z","department":[{"_id":"CaGu"},{"_id":"JoBo"}],"author":[{"id":"345D25EC-F248-11E8-B48F-1D18A9856A87","full_name":"Lagator, Mato","first_name":"Mato","last_name":"Lagator"},{"id":"46613666-F248-11E8-B48F-1D18A9856A87","full_name":"Igler, Claudia","last_name":"Igler","first_name":"Claudia"},{"full_name":"Moreno, Anaisa","first_name":"Anaisa","last_name":"Moreno"},{"id":"47F8433E-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-6220-2052","full_name":"Guet, Calin C","first_name":"Calin C","last_name":"Guet"},{"full_name":"Bollback, Jonathan P","orcid":"0000-0002-4624-4612","last_name":"Bollback","first_name":"Jonathan P","id":"2C6FA9CC-F248-11E8-B48F-1D18A9856A87"}],"issue":"3","_id":"1427","scopus_import":1,"ddc":["570","576"],"volume":33,"abstract":[{"text":"Changes in gene expression are an important mode of evolution; however, the proximate mechanism of these changes is poorly understood. In particular, little is known about the effects of mutations within cis binding sites for transcription factors, or the nature of epistatic interactions between these mutations. Here, we tested the effects of single and double mutants in two cis binding sites involved in the transcriptional regulation of the Escherichia coli araBAD operon, a component of arabinose metabolism, using a synthetic system. This system decouples transcriptional control from any posttranslational effects on fitness, allowing a precise estimate of the effect of single and double mutations, and hence epistasis, on gene expression. We found that epistatic interactions between mutations in the araBAD cis-regulatory element are common, and that the predominant form of epistasis is negative. The magnitude of the interactions depended on whether the mutations are located in the same or in different operator sites. Importantly, these epistatic interactions were dependent on the presence of arabinose, a native inducer of the araBAD operon in vivo, with some interactions changing in sign (e.g., from negative to positive) in its presence. This study thus reveals that mutations in even relatively simple cis-regulatory elements interact in complex ways such that selection on the level of gene expression in one environment might perturb regulation in the other environment in an unpredictable and uncorrelated manner.","lang":"eng"}],"doi":"10.1093/molbev/msv269","day":"01","date_updated":"2021-01-12T06:50:39Z","citation":{"apa":"Lagator, M., Igler, C., Moreno, A., Guet, C. C., &#38; Bollback, J. P. (2016). Epistatic interactions in the arabinose cis-regulatory element. <i>Molecular Biology and Evolution</i>. Oxford University Press. <a href=\"https://doi.org/10.1093/molbev/msv269\">https://doi.org/10.1093/molbev/msv269</a>","ama":"Lagator M, Igler C, Moreno A, Guet CC, Bollback JP. Epistatic interactions in the arabinose cis-regulatory element. <i>Molecular Biology and Evolution</i>. 2016;33(3):761-769. doi:<a href=\"https://doi.org/10.1093/molbev/msv269\">10.1093/molbev/msv269</a>","ieee":"M. Lagator, C. Igler, A. Moreno, C. C. Guet, and J. P. Bollback, “Epistatic interactions in the arabinose cis-regulatory element,” <i>Molecular Biology and Evolution</i>, vol. 33, no. 3. Oxford University Press, pp. 761–769, 2016.","chicago":"Lagator, Mato, Claudia Igler, Anaisa Moreno, Calin C Guet, and Jonathan P Bollback. “Epistatic Interactions in the Arabinose Cis-Regulatory Element.” <i>Molecular Biology and Evolution</i>. Oxford University Press, 2016. <a href=\"https://doi.org/10.1093/molbev/msv269\">https://doi.org/10.1093/molbev/msv269</a>.","mla":"Lagator, Mato, et al. “Epistatic Interactions in the Arabinose Cis-Regulatory Element.” <i>Molecular Biology and Evolution</i>, vol. 33, no. 3, Oxford University Press, 2016, pp. 761–69, doi:<a href=\"https://doi.org/10.1093/molbev/msv269\">10.1093/molbev/msv269</a>.","short":"M. Lagator, C. Igler, A. Moreno, C.C. Guet, J.P. Bollback, Molecular Biology and Evolution 33 (2016) 761–769.","ista":"Lagator M, Igler C, Moreno A, Guet CC, Bollback JP. 2016. Epistatic interactions in the arabinose cis-regulatory element. Molecular Biology and Evolution. 33(3), 761–769."},"year":"2016"},{"issue":"10","author":[{"last_name":"Gnügge","first_name":"Robert","full_name":"Gnügge, Robert"},{"last_name":"Dharmarajan","first_name":"Lekshmi","full_name":"Dharmarajan, Lekshmi"},{"id":"29E0800A-F248-11E8-B48F-1D18A9856A87","full_name":"Lang, Moritz","first_name":"Moritz","last_name":"Lang"},{"last_name":"Stelling","first_name":"Jörg","full_name":"Stelling, Jörg"}],"_id":"1008","publication":"ACS Synthetic Biology","intvolume":"         5","month":"05","title":"An orthogonal permease–inducer–repressor feedback loop shows bistability","department":[{"_id":"CaGu"}],"date_created":"2018-12-11T11:49:40Z","publication_status":"published","oa_version":"None","language":[{"iso":"eng"}],"quality_controlled":"1","page":"1098 - 1107","publisher":"American Chemical Society","type":"journal_article","date_published":"2016-05-05T00:00:00Z","year":"2016","citation":{"apa":"Gnügge, R., Dharmarajan, L., Lang, M., &#38; Stelling, J. (2016). An orthogonal permease–inducer–repressor feedback loop shows bistability. <i>ACS Synthetic Biology</i>. American Chemical Society. <a href=\"https://doi.org/10.1021/acssynbio.6b00013\">https://doi.org/10.1021/acssynbio.6b00013</a>","ama":"Gnügge R, Dharmarajan L, Lang M, Stelling J. An orthogonal permease–inducer–repressor feedback loop shows bistability. <i>ACS Synthetic Biology</i>. 2016;5(10):1098-1107. doi:<a href=\"https://doi.org/10.1021/acssynbio.6b00013\">10.1021/acssynbio.6b00013</a>","ieee":"R. Gnügge, L. Dharmarajan, M. Lang, and J. Stelling, “An orthogonal permease–inducer–repressor feedback loop shows bistability,” <i>ACS Synthetic Biology</i>, vol. 5, no. 10. American Chemical Society, pp. 1098–1107, 2016.","chicago":"Gnügge, Robert, Lekshmi Dharmarajan, Moritz Lang, and Jörg Stelling. “An Orthogonal Permease–Inducer–Repressor Feedback Loop Shows Bistability.” <i>ACS Synthetic Biology</i>. American Chemical Society, 2016. <a href=\"https://doi.org/10.1021/acssynbio.6b00013\">https://doi.org/10.1021/acssynbio.6b00013</a>.","mla":"Gnügge, Robert, et al. “An Orthogonal Permease–Inducer–Repressor Feedback Loop Shows Bistability.” <i>ACS Synthetic Biology</i>, vol. 5, no. 10, American Chemical Society, 2016, pp. 1098–107, doi:<a href=\"https://doi.org/10.1021/acssynbio.6b00013\">10.1021/acssynbio.6b00013</a>.","short":"R. Gnügge, L. Dharmarajan, M. Lang, J. Stelling, ACS Synthetic Biology 5 (2016) 1098–1107.","ista":"Gnügge R, Dharmarajan L, Lang M, Stelling J. 2016. An orthogonal permease–inducer–repressor feedback loop shows bistability. ACS Synthetic Biology. 5(10), 1098–1107."},"date_updated":"2021-01-12T06:47:37Z","publist_id":"6390","abstract":[{"text":"Feedback loops in biological networks, among others, enable differentiation and cell cycle progression, and increase robustness in signal transduction. In natural networks, feedback loops are often complex and intertwined, making it challenging to identify which loops are mainly responsible for an observed behavior. However, minimal synthetic replicas could allow for such identification. Here, we engineered a synthetic permease-inducer-repressor system in Saccharomyces cerevisiae to analyze if a transport-mediated positive feedback loop could be a core mechanism for the switch-like behavior in the regulation of metabolic gene networks such as the S. cerevisiae GAL system or the Escherichia coli lac operon. We characterized the synthetic circuit using deterministic and stochastic mathematical models. Similar to its natural counterparts, our synthetic system shows bistable and hysteretic behavior, and the inducer concentration range for bistability as well as the switching rates between the two stable states depend on the repressor concentration. Our results indicate that a generic permease–inducer–repressor circuit with a single feedback loop is sufficient to explain the experimentally observed bistable behavior of the natural systems. We anticipate that the approach of reimplementing natural systems with orthogonal parts to identify crucial network components is applicable to other natural systems such as signaling pathways.","lang":"eng"}],"day":"05","doi":"10.1021/acssynbio.6b00013","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","status":"public","volume":5,"acknowledgement":"We thank Julio Polaina (Instituto de Agroqu ı ́ mica y Tecnolog ı ́ a de Alimentos, C.S.I.C., Paterna, Spain) for the gift of plasmid pMR4, Gregor W. Schmidt for provision of and support with the micro fl uidic device, Markus Du ̈ rr for the cell tracking R script, and Lukas Widmer for the script for MEIGO using “ parfor ” in MATLAB. We acknowledge the members of the Stelling group for discussions, comments, and support."},{"oa":1,"publist_id":"6114","abstract":[{"lang":"eng","text":"Theoretical and numerical aspects of aerodynamic efficiency of propulsion systems coupled to the boundary layer of a fuselage are studied. We discuss the effects of local flow fields, which are affected both by conservative flow acceleration as well as total pressure losses, on the efficiency of boundary layer immersed propulsion devices. We introduce the concept of a boundary layer retardation turbine that helps reduce skin friction over the fuselage. We numerically investigate efficiency gains offered by boundary layer and wake interacting devices. We discuss the results in terms of a total energy consumption framework and show that efficiency gains of any device depend on all the other elements of the propulsion system."}],"day":"01","doi":"10.2514/6.2016-3764","type":"conference","date_published":"2016-06-01T00:00:00Z","year":"2016","citation":{"ista":"Mikić G, Stoll A, Bevirt J, Grah R, Moore M. 2016. Fuselage boundary layer ingestion propulsion applied to a thin haul commuter aircraft for optimal efficiency. AIAA: Aviation Technology, Integration, and Operations Conference, 1–19.","short":"G. Mikić, A. Stoll, J. Bevirt, R. Grah, M. Moore, in:, AIAA, 2016, pp. 1–19.","mla":"Mikić, Gregor, et al. <i>Fuselage Boundary Layer Ingestion Propulsion Applied to a Thin Haul Commuter Aircraft for Optimal Efficiency</i>. AIAA, 2016, pp. 1–19, doi:<a href=\"https://doi.org/10.2514/6.2016-3764\">10.2514/6.2016-3764</a>.","ieee":"G. Mikić, A. Stoll, J. Bevirt, R. Grah, and M. Moore, “Fuselage boundary layer ingestion propulsion applied to a thin haul commuter aircraft for optimal efficiency,” presented at the AIAA: Aviation Technology, Integration, and Operations Conference, Washington, D.C., USA, 2016, pp. 1–19.","chicago":"Mikić, Gregor, Alex Stoll, Joe Bevirt, Rok Grah, and Mark Moore. “Fuselage Boundary Layer Ingestion Propulsion Applied to a Thin Haul Commuter Aircraft for Optimal Efficiency,” 1–19. AIAA, 2016. <a href=\"https://doi.org/10.2514/6.2016-3764\">https://doi.org/10.2514/6.2016-3764</a>.","apa":"Mikić, G., Stoll, A., Bevirt, J., Grah, R., &#38; Moore, M. (2016). Fuselage boundary layer ingestion propulsion applied to a thin haul commuter aircraft for optimal efficiency (pp. 1–19). Presented at the AIAA: Aviation Technology, Integration, and Operations Conference, Washington, D.C., USA: AIAA. <a href=\"https://doi.org/10.2514/6.2016-3764\">https://doi.org/10.2514/6.2016-3764</a>","ama":"Mikić G, Stoll A, Bevirt J, Grah R, Moore M. Fuselage boundary layer ingestion propulsion applied to a thin haul commuter aircraft for optimal efficiency. In: AIAA; 2016:1-19. doi:<a href=\"https://doi.org/10.2514/6.2016-3764\">10.2514/6.2016-3764</a>"},"date_updated":"2023-02-21T10:17:50Z","status":"public","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","main_file_link":[{"open_access":"1","url":"https://ntrs.nasa.gov/search.jsp?R=20160010167&amp;hterms=Fuselage+boundary+layer+ingestion+propulsion+applied+thin+haul+commuter+aircraft+optimal+efficiency&amp;qs=N%3D0%26Ntk%3DAll%26Ntt%3DFuselage%2520boundary%2520layer%2520ingestion%2520propulsion%2520applied%2520to%2520a%2520thin%2520haul%2520commuter%2520aircraft%2520for%2520optimal%2520efficiency%26Ntx%3Dmode%2520matchallpartial%26Nm%3D123%7CCollection%7CNASA%2520STI%7C%7C17%7CCollection%7CNACA"}],"month":"06","title":"Fuselage boundary layer ingestion propulsion applied to a thin haul commuter aircraft for optimal efficiency","date_created":"2018-12-11T11:50:47Z","department":[{"_id":"CaGu"},{"_id":"GaTk"}],"oa_version":"Preprint","publication_status":"published","author":[{"full_name":"Mikić, Gregor","first_name":"Gregor","last_name":"Mikić"},{"full_name":"Stoll, Alex","first_name":"Alex","last_name":"Stoll"},{"full_name":"Bevirt, Joe","first_name":"Joe","last_name":"Bevirt"},{"id":"483E70DE-F248-11E8-B48F-1D18A9856A87","last_name":"Grah","first_name":"Rok","full_name":"Grah, Rok","orcid":"0000-0003-2539-3560"},{"full_name":"Moore, Mark","last_name":"Moore","first_name":"Mark"}],"scopus_import":1,"_id":"1220","conference":{"name":"AIAA: Aviation Technology, Integration, and Operations Conference","start_date":"2016-06-13","location":"Washington, D.C., USA","end_date":"2016-06-17"},"publisher":"AIAA","language":[{"iso":"eng"}],"quality_controlled":"1","page":"1 - 19"},{"publisher":"Springer","page":"112 - 129","quality_controlled":"1","ec_funded":1,"publication_status":"published","date_created":"2018-12-11T11:50:51Z","department":[{"_id":"ToHe"},{"_id":"CaGu"}],"title":"Faster statistical model checking for unbounded temporal properties","alternative_title":["LNCS"],"intvolume":"      9636","_id":"1234","scopus_import":1,"author":[{"id":"49351290-F248-11E8-B48F-1D18A9856A87","first_name":"Przemyslaw","last_name":"Daca","full_name":"Daca, Przemyslaw"},{"id":"40876CD8-F248-11E8-B48F-1D18A9856A87","full_name":"Henzinger, Thomas A","orcid":"0000−0002−2985−7724","last_name":"Henzinger","first_name":"Thomas A"},{"id":"44CEF464-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-8122-2881","full_name":"Kretinsky, Jan","first_name":"Jan","last_name":"Kretinsky"},{"full_name":"Petrov, Tatjana","orcid":"0000-0002-9041-0905","last_name":"Petrov","first_name":"Tatjana","id":"3D5811FC-F248-11E8-B48F-1D18A9856A87"}],"volume":9636,"acknowledgement":"This research was funded in part by the European Research Council (ERC) under\r\ngrant  agreement  267989  (QUAREM),  the  Austrian  Science  Fund  (FWF)  under\r\ngrants project S11402-N23 (RiSE) and Z211-N23 (Wittgenstein Award), the Peo-\r\nple Programme (Marie Curie Actions) of the European Union’s Seventh Framework\r\nProgramme (FP7/2007-2013) REA Grant No 291734, the SNSF Advanced Postdoc.\r\nMobility Fellowship – grant number P300P2\r\n161067, and the Czech Science Foun-\r\ndation under grant agreement P202/12/G061.","doi":"10.1007/978-3-662-49674-9_7","day":"01","abstract":[{"text":"We present a new algorithm for the statistical model checking of Markov chains with respect to unbounded temporal properties, including full linear temporal logic. The main idea is that we monitor each simulation run on the fly, in order to detect quickly if a bottom strongly connected component is entered with high probability, in which case the simulation run can be terminated early. As a result, our simulation runs are often much shorter than required by termination bounds that are computed a priori for a desired level of confidence on a large state space. In comparison to previous algorithms for statistical model checking our method is not only faster in many cases but also requires less information about the system, namely, only the minimum transition probability that occurs in the Markov chain. In addition, our method can be generalised to unbounded quantitative properties such as mean-payoff bounds.","lang":"eng"}],"date_updated":"2023-09-07T11:58:33Z","citation":{"ista":"Daca P, Henzinger TA, Kretinsky J, Petrov T. 2016. Faster statistical model checking for unbounded temporal properties. TACAS: Tools and Algorithms for the Construction and Analysis of Systems, LNCS, vol. 9636, 112–129.","mla":"Daca, Przemyslaw, et al. <i>Faster Statistical Model Checking for Unbounded Temporal Properties</i>. Vol. 9636, Springer, 2016, pp. 112–29, doi:<a href=\"https://doi.org/10.1007/978-3-662-49674-9_7\">10.1007/978-3-662-49674-9_7</a>.","short":"P. Daca, T.A. Henzinger, J. Kretinsky, T. Petrov, in:, Springer, 2016, pp. 112–129.","ieee":"P. Daca, T. A. Henzinger, J. Kretinsky, and T. Petrov, “Faster statistical model checking for unbounded temporal properties,” presented at the TACAS: Tools and Algorithms for the Construction and Analysis of Systems, Eindhoven, The Netherlands, 2016, vol. 9636, pp. 112–129.","chicago":"Daca, Przemyslaw, Thomas A Henzinger, Jan Kretinsky, and Tatjana Petrov. “Faster Statistical Model Checking for Unbounded Temporal Properties,” 9636:112–29. Springer, 2016. <a href=\"https://doi.org/10.1007/978-3-662-49674-9_7\">https://doi.org/10.1007/978-3-662-49674-9_7</a>.","ama":"Daca P, Henzinger TA, Kretinsky J, Petrov T. Faster statistical model checking for unbounded temporal properties. In: Vol 9636. Springer; 2016:112-129. doi:<a href=\"https://doi.org/10.1007/978-3-662-49674-9_7\">10.1007/978-3-662-49674-9_7</a>","apa":"Daca, P., Henzinger, T. A., Kretinsky, J., &#38; Petrov, T. (2016). Faster statistical model checking for unbounded temporal properties (Vol. 9636, pp. 112–129). Presented at the TACAS: Tools and Algorithms for the Construction and Analysis of Systems, Eindhoven, The Netherlands: Springer. <a href=\"https://doi.org/10.1007/978-3-662-49674-9_7\">https://doi.org/10.1007/978-3-662-49674-9_7</a>"},"year":"2016","conference":{"start_date":"2016-04-02","name":"TACAS: Tools and Algorithms for the Construction and Analysis of Systems","end_date":"2016-04-08","location":"Eindhoven, The Netherlands"},"language":[{"iso":"eng"}],"oa_version":"Preprint","project":[{"call_identifier":"FP7","_id":"25EE3708-B435-11E9-9278-68D0E5697425","grant_number":"267989","name":"Quantitative Reactive Modeling"},{"name":"Rigorous Systems Engineering","grant_number":"S 11407_N23","_id":"25832EC2-B435-11E9-9278-68D0E5697425","call_identifier":"FWF"},{"name":"The Wittgenstein Prize","grant_number":"Z211","call_identifier":"FWF","_id":"25F42A32-B435-11E9-9278-68D0E5697425"},{"name":"International IST Postdoc Fellowship Programme","grant_number":"291734","call_identifier":"FP7","_id":"25681D80-B435-11E9-9278-68D0E5697425"}],"month":"01","main_file_link":[{"open_access":"1","url":"https://arxiv.org/abs/1504.05739"}],"related_material":{"record":[{"status":"public","id":"471","relation":"later_version"},{"status":"public","relation":"dissertation_contains","id":"1155"}]},"status":"public","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","oa":1,"publist_id":"6099","date_published":"2016-01-01T00:00:00Z","type":"conference"},{"issue":"3","author":[{"id":"4569785E-F248-11E8-B48F-1D18A9856A87","last_name":"Pleska","first_name":"Maros","full_name":"Pleska, Maros","orcid":"0000-0001-7460-7479"},{"full_name":"Qian, Long","last_name":"Qian","first_name":"Long"},{"last_name":"Okura","first_name":"Reiko","full_name":"Okura, Reiko"},{"last_name":"Bergmiller","first_name":"Tobias","full_name":"Bergmiller, Tobias","orcid":"0000-0001-5396-4346","id":"2C471CFA-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Wakamoto, Yuichi","last_name":"Wakamoto","first_name":"Yuichi"},{"full_name":"Kussell, Edo","last_name":"Kussell","first_name":"Edo"},{"orcid":"0000-0001-6220-2052","full_name":"Guet, Calin C","first_name":"Calin C","last_name":"Guet","id":"47F8433E-F248-11E8-B48F-1D18A9856A87"}],"scopus_import":1,"_id":"1243","intvolume":"        26","title":"Bacterial autoimmunity due to a restriction-modification system","date_created":"2018-12-11T11:50:54Z","department":[{"_id":"CaGu"}],"publication_status":"published","quality_controlled":"1","page":"404 - 409","publisher":"Cell Press","year":"2016","citation":{"ista":"Pleska M, Qian L, Okura R, Bergmiller T, Wakamoto Y, Kussell E, Guet CC. 2016. Bacterial autoimmunity due to a restriction-modification system. Current Biology. 26(3), 404–409.","short":"M. Pleska, L. Qian, R. Okura, T. Bergmiller, Y. Wakamoto, E. Kussell, C.C. Guet, Current Biology 26 (2016) 404–409.","mla":"Pleska, Maros, et al. “Bacterial Autoimmunity Due to a Restriction-Modification System.” <i>Current Biology</i>, vol. 26, no. 3, Cell Press, 2016, pp. 404–09, doi:<a href=\"https://doi.org/10.1016/j.cub.2015.12.041\">10.1016/j.cub.2015.12.041</a>.","chicago":"Pleska, Maros, Long Qian, Reiko Okura, Tobias Bergmiller, Yuichi Wakamoto, Edo Kussell, and Calin C Guet. “Bacterial Autoimmunity Due to a Restriction-Modification System.” <i>Current Biology</i>. Cell Press, 2016. <a href=\"https://doi.org/10.1016/j.cub.2015.12.041\">https://doi.org/10.1016/j.cub.2015.12.041</a>.","ieee":"M. Pleska <i>et al.</i>, “Bacterial autoimmunity due to a restriction-modification system,” <i>Current Biology</i>, vol. 26, no. 3. Cell Press, pp. 404–409, 2016.","ama":"Pleska M, Qian L, Okura R, et al. Bacterial autoimmunity due to a restriction-modification system. <i>Current Biology</i>. 2016;26(3):404-409. doi:<a href=\"https://doi.org/10.1016/j.cub.2015.12.041\">10.1016/j.cub.2015.12.041</a>","apa":"Pleska, M., Qian, L., Okura, R., Bergmiller, T., Wakamoto, Y., Kussell, E., &#38; Guet, C. C. (2016). Bacterial autoimmunity due to a restriction-modification system. <i>Current Biology</i>. Cell Press. <a href=\"https://doi.org/10.1016/j.cub.2015.12.041\">https://doi.org/10.1016/j.cub.2015.12.041</a>"},"date_updated":"2023-09-07T11:59:32Z","abstract":[{"lang":"eng","text":"Restriction-modification (RM) systems represent a minimal and ubiquitous biological system of self/non-self discrimination in prokaryotes [1], which protects hosts from exogenous DNA [2]. The mechanism is based on the balance between methyltransferase (M) and cognate restriction endonuclease (R). M tags endogenous DNA as self by methylating short specific DNA sequences called restriction sites, whereas R recognizes unmethylated restriction sites as non-self and introduces a double-stranded DNA break [3]. Restriction sites are significantly underrepresented in prokaryotic genomes [4-7], suggesting that the discrimination mechanism is imperfect and occasionally leads to autoimmunity due to self-DNA cleavage (self-restriction) [8]. Furthermore, RM systems can promote DNA recombination [9] and contribute to genetic variation in microbial populations, thus facilitating adaptive evolution [10]. However, cleavage of self-DNA by RM systems as elements shaping prokaryotic genomes has not been directly detected, and its cause, frequency, and outcome are unknown. We quantify self-restriction caused by two RM systems of Escherichia coli and find that, in agreement with levels of restriction site avoidance, EcoRI, but not EcoRV, cleaves self-DNA at a measurable rate. Self-restriction is a stochastic process, which temporarily induces the SOS response, and is followed by DNA repair, maintaining cell viability. We find that RM systems with higher restriction efficiency against bacteriophage infections exhibit a higher rate of self-restriction, and that this rate can be further increased by stochastic imbalance between R and M. Our results identify molecular noise in RM systems as a factor shaping prokaryotic genomes."}],"day":"08","doi":"10.1016/j.cub.2015.12.041","acknowledgement":"This work was funded by an HFSP Young Investigators’ grant. M.P. is a recipient of a DOC Fellowship of the Austrian Academy of Science at the Institute of Science and Technology Austria. R.O. and Y.W. were supported by the Platform for Dynamic Approaches to Living System from MEXT, Japan. We wish to thank I. Kobayashi for providing us with the EcoRI and EcoRV plasmids, and A. Campbell for providing us with the λ vir phage. We thank D. Siekhaus and C. Uhler and members of the C.C.G. and J.P. Bollback laboratories for in-depth discussions. We thank B. Stern for comments on an earlier version of the manuscript. We especially thank B.R. Levin for advice and comments, and the anonymous reviewers for significantly improving the manuscript.","volume":26,"publication":"Current Biology","month":"02","project":[{"_id":"251D65D8-B435-11E9-9278-68D0E5697425","name":"Effects of Stochasticity on the Function of Restriction-Modi cation Systems at the Single-Cell Level (DOC Fellowship)","grant_number":"24210"}],"oa_version":"None","language":[{"iso":"eng"}],"type":"journal_article","date_published":"2016-02-08T00:00:00Z","publist_id":"6087","related_material":{"record":[{"status":"public","relation":"dissertation_contains","id":"202"}]},"user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","status":"public"},{"quality_controlled":"1","file_date_updated":"2020-07-14T12:44:41Z","publisher":"Public Library of Science","scopus_import":1,"_id":"1250","issue":"4","author":[{"last_name":"Boehm","first_name":"Alex","full_name":"Boehm, Alex"},{"last_name":"Arnoldini","first_name":"Markus","full_name":"Arnoldini, Markus"},{"id":"2C471CFA-F248-11E8-B48F-1D18A9856A87","first_name":"Tobias","last_name":"Bergmiller","orcid":"0000-0001-5396-4346","full_name":"Bergmiller, Tobias"},{"first_name":"Thomas","last_name":"Röösli","full_name":"Röösli, Thomas"},{"full_name":"Bigosch, Colette","first_name":"Colette","last_name":"Bigosch"},{"last_name":"Ackermann","first_name":"Martin","full_name":"Ackermann, Martin"}],"date_created":"2018-12-11T11:50:56Z","department":[{"_id":"CaGu"}],"publication_status":"published","intvolume":"        12","pubrep_id":"705","title":"Genetic manipulation of glycogen allocation affects replicative lifespan in E coli","acknowledgement":"This manuscript is dedicated to the memory of Alex Böhm, who was a great friend and a passionate biologist. Alex passed away after the initial submission of this manuscript. We thank Vesna Olivera and Ursula Sauder from the Zentrum für Mikroskopie Uni Basel for excellent service, and Olin Silander, Nikki Freed, and Nela Nikolic for helpful discussions. This work was supported by the Swiss National Science Foundation grants to M. Ackermann and Urs Jenal (supporting AB).","volume":12,"ddc":["576","579"],"citation":{"short":"A. Boehm, M. Arnoldini, T. Bergmiller, T. Röösli, C. Bigosch, M. Ackermann, PLoS Genetics 12 (2016).","mla":"Boehm, Alex, et al. “Genetic Manipulation of Glycogen Allocation Affects Replicative Lifespan in E Coli.” <i>PLoS Genetics</i>, vol. 12, no. 4, e1005974, Public Library of Science, 2016, doi:<a href=\"https://doi.org/10.1371/journal.pgen.1005974\">10.1371/journal.pgen.1005974</a>.","ista":"Boehm A, Arnoldini M, Bergmiller T, Röösli T, Bigosch C, Ackermann M. 2016. Genetic manipulation of glycogen allocation affects replicative lifespan in E coli. PLoS Genetics. 12(4), e1005974.","apa":"Boehm, A., Arnoldini, M., Bergmiller, T., Röösli, T., Bigosch, C., &#38; Ackermann, M. (2016). Genetic manipulation of glycogen allocation affects replicative lifespan in E coli. <i>PLoS Genetics</i>. Public Library of Science. <a href=\"https://doi.org/10.1371/journal.pgen.1005974\">https://doi.org/10.1371/journal.pgen.1005974</a>","ama":"Boehm A, Arnoldini M, Bergmiller T, Röösli T, Bigosch C, Ackermann M. Genetic manipulation of glycogen allocation affects replicative lifespan in E coli. <i>PLoS Genetics</i>. 2016;12(4). doi:<a href=\"https://doi.org/10.1371/journal.pgen.1005974\">10.1371/journal.pgen.1005974</a>","ieee":"A. Boehm, M. Arnoldini, T. Bergmiller, T. Röösli, C. Bigosch, and M. Ackermann, “Genetic manipulation of glycogen allocation affects replicative lifespan in E coli,” <i>PLoS Genetics</i>, vol. 12, no. 4. Public Library of Science, 2016.","chicago":"Boehm, Alex, Markus Arnoldini, Tobias Bergmiller, Thomas Röösli, Colette Bigosch, and Martin Ackermann. “Genetic Manipulation of Glycogen Allocation Affects Replicative Lifespan in E Coli.” <i>PLoS Genetics</i>. Public Library of Science, 2016. <a href=\"https://doi.org/10.1371/journal.pgen.1005974\">https://doi.org/10.1371/journal.pgen.1005974</a>."},"year":"2016","date_updated":"2023-02-23T14:11:39Z","day":"19","doi":"10.1371/journal.pgen.1005974","abstract":[{"lang":"eng","text":"In bacteria, replicative aging manifests as a difference in growth or survival between the two cells emerging from division. One cell can be regarded as an aging mother with a decreased potential for future survival and division, the other as a rejuvenated daughter. Here, we aimed at investigating some of the processes involved in aging in the bacterium Escherichia coli, where the two types of cells can be distinguished by the age of their cell poles. We found that certain changes in the regulation of the carbohydrate metabolism can affect aging. A mutation in the carbon storage regulator gene, csrA, leads to a dramatically shorter replicative lifespan; csrA mutants stop dividing once their pole exceeds an age of about five divisions. These old-pole cells accumulate glycogen at their old cell poles; after their last division, they do not contain a chromosome, presumably because of spatial exclusion by the glycogen aggregates. The new-pole daughters produced by these aging mothers are born young; they only express the deleterious phenotype once their pole is old. These results demonstrate how manipulations of nutrient allocation can lead to the exclusion of the chromosome and limit replicative lifespan in E. coli, and illustrate how mutations can have phenotypic effects that are specific for cells with old poles. This raises the question how bacteria can avoid the accumulation of such mutations in their genomes over evolutionary times, and how they can achieve the long replicative lifespans that have recently been reported."}],"language":[{"iso":"eng"}],"has_accepted_license":"1","publication":"PLoS Genetics","oa_version":"Published Version","article_number":"e1005974","month":"04","file":[{"file_size":6273249,"checksum":"53d22b2b39e5adc243d34f18b2615a85","date_created":"2018-12-12T10:14:17Z","file_name":"IST-2016-705-v1+1_journal.pgen.1005974.PDF","content_type":"application/pdf","date_updated":"2020-07-14T12:44:41Z","access_level":"open_access","relation":"main_file","creator":"system","file_id":"5067"}],"user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","related_material":{"record":[{"id":"9873","relation":"research_data","status":"public"}]},"status":"public","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"type":"journal_article","date_published":"2016-04-19T00:00:00Z","publist_id":"6077","oa":1},{"oa":1,"publist_id":"6026","type":"journal_article","date_published":"2016-11-01T00:00:00Z","status":"public","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","main_file_link":[{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5069154/","open_access":"1"}],"month":"11","oa_version":"Preprint","publication":"Nature Chemical Biology","language":[{"iso":"eng"}],"abstract":[{"text":"We developed a competition-based screening strategy to identify compounds that invert the selective advantage of antibiotic resistance. Using our assay, we screened over 19,000 compounds for the ability to select against the TetA tetracycline-resistance efflux pump in Escherichia coli and identified two hits, β-thujaplicin and disulfiram. Treating a tetracycline-resistant population with β-thujaplicin selects for loss of the resistance gene, enabling an effective second-phase treatment with doxycycline.","lang":"eng"}],"day":"01","doi":"10.1038/nchembio.2176","year":"2016","citation":{"mla":"Stone, Laura, et al. “Compounds That Select against the Tetracycline-Resistance Efflux Pump.” <i>Nature Chemical Biology</i>, vol. 12, no. 11, Nature Publishing Group, 2016, pp. 902–04, doi:<a href=\"https://doi.org/10.1038/nchembio.2176\">10.1038/nchembio.2176</a>.","short":"L. Stone, M. Baym, T. Lieberman, R.P. Chait, J. Clardy, R. Kishony, Nature Chemical Biology 12 (2016) 902–904.","ista":"Stone L, Baym M, Lieberman T, Chait RP, Clardy J, Kishony R. 2016. Compounds that select against the tetracycline-resistance efflux pump. Nature Chemical Biology. 12(11), 902–904.","apa":"Stone, L., Baym, M., Lieberman, T., Chait, R. P., Clardy, J., &#38; Kishony, R. (2016). Compounds that select against the tetracycline-resistance efflux pump. <i>Nature Chemical Biology</i>. Nature Publishing Group. <a href=\"https://doi.org/10.1038/nchembio.2176\">https://doi.org/10.1038/nchembio.2176</a>","ama":"Stone L, Baym M, Lieberman T, Chait RP, Clardy J, Kishony R. Compounds that select against the tetracycline-resistance efflux pump. <i>Nature Chemical Biology</i>. 2016;12(11):902-904. doi:<a href=\"https://doi.org/10.1038/nchembio.2176\">10.1038/nchembio.2176</a>","chicago":"Stone, Laura, Michael Baym, Tami Lieberman, Remy P Chait, Jon Clardy, and Roy Kishony. “Compounds That Select against the Tetracycline-Resistance Efflux Pump.” <i>Nature Chemical Biology</i>. Nature Publishing Group, 2016. <a href=\"https://doi.org/10.1038/nchembio.2176\">https://doi.org/10.1038/nchembio.2176</a>.","ieee":"L. Stone, M. Baym, T. Lieberman, R. P. Chait, J. Clardy, and R. Kishony, “Compounds that select against the tetracycline-resistance efflux pump,” <i>Nature Chemical Biology</i>, vol. 12, no. 11. Nature Publishing Group, pp. 902–904, 2016."},"date_updated":"2021-01-12T06:49:39Z","acknowledgement":"This work was supported in part by National Institute of Allergy and Infectious Diseases grant U54 AI057159, US National Institutes of Health grants R01 GM081617 (to R.K.) and GM086258 (to J.C.), European Research Council FP7 ERC grant 281891 (to R.K.) and a National Science Foundation Graduate Fellowship (to L.K.S.).\r\n","volume":12,"intvolume":"        12","title":"Compounds that select against the tetracycline-resistance efflux pump","department":[{"_id":"CaGu"},{"_id":"GaTk"}],"date_created":"2018-12-11T11:51:10Z","publication_status":"published","issue":"11","author":[{"last_name":"Stone","first_name":"Laura","full_name":"Stone, Laura"},{"full_name":"Baym, Michael","last_name":"Baym","first_name":"Michael"},{"first_name":"Tami","last_name":"Lieberman","full_name":"Lieberman, Tami"},{"orcid":"0000-0003-0876-3187","full_name":"Chait, Remy P","first_name":"Remy P","last_name":"Chait","id":"3464AE84-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Clardy","first_name":"Jon","full_name":"Clardy, Jon"},{"full_name":"Kishony, Roy","first_name":"Roy","last_name":"Kishony"}],"scopus_import":1,"_id":"1290","publisher":"Nature Publishing Group","quality_controlled":"1","page":"902 - 904"},{"publisher":"Public Library of Science","month":"04","title":"Quantification of the growth rate reduction as a consequence of age-specific mortality","oa_version":"Published Version","department":[{"_id":"CaGu"}],"article_processing_charge":"No","date_created":"2021-08-10T09:42:34Z","author":[{"first_name":"Alex","last_name":"Boehm","full_name":"Boehm, Alex"},{"full_name":"Arnoldini, Markus","last_name":"Arnoldini","first_name":"Markus"},{"first_name":"Tobias","last_name":"Bergmiller","orcid":"0000-0001-5396-4346","full_name":"Bergmiller, Tobias","id":"2C471CFA-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Röösli","first_name":"Thomas","full_name":"Röösli, Thomas"},{"last_name":"Bigosch","first_name":"Colette","full_name":"Bigosch, Colette"},{"first_name":"Martin","last_name":"Ackermann","full_name":"Ackermann, Martin"}],"_id":"9873","related_material":{"record":[{"id":"1250","relation":"used_in_publication","status":"public"}]},"user_id":"6785fbc1-c503-11eb-8a32-93094b40e1cf","status":"public","doi":"10.1371/journal.pgen.1005974.s015","day":"19","type":"research_data_reference","date_updated":"2023-02-21T16:50:13Z","year":"2016","citation":{"ama":"Boehm A, Arnoldini M, Bergmiller T, Röösli T, Bigosch C, Ackermann M. Quantification of the growth rate reduction as a consequence of age-specific mortality. 2016. doi:<a href=\"https://doi.org/10.1371/journal.pgen.1005974.s015\">10.1371/journal.pgen.1005974.s015</a>","apa":"Boehm, A., Arnoldini, M., Bergmiller, T., Röösli, T., Bigosch, C., &#38; Ackermann, M. (2016). Quantification of the growth rate reduction as a consequence of age-specific mortality. Public Library of Science. <a href=\"https://doi.org/10.1371/journal.pgen.1005974.s015\">https://doi.org/10.1371/journal.pgen.1005974.s015</a>","ieee":"A. Boehm, M. Arnoldini, T. Bergmiller, T. Röösli, C. Bigosch, and M. Ackermann, “Quantification of the growth rate reduction as a consequence of age-specific mortality.” Public Library of Science, 2016.","chicago":"Boehm, Alex, Markus Arnoldini, Tobias Bergmiller, Thomas Röösli, Colette Bigosch, and Martin Ackermann. “Quantification of the Growth Rate Reduction as a Consequence of Age-Specific Mortality.” Public Library of Science, 2016. <a href=\"https://doi.org/10.1371/journal.pgen.1005974.s015\">https://doi.org/10.1371/journal.pgen.1005974.s015</a>.","short":"A. Boehm, M. Arnoldini, T. Bergmiller, T. Röösli, C. Bigosch, M. Ackermann, (2016).","mla":"Boehm, Alex, et al. <i>Quantification of the Growth Rate Reduction as a Consequence of Age-Specific Mortality</i>. Public Library of Science, 2016, doi:<a href=\"https://doi.org/10.1371/journal.pgen.1005974.s015\">10.1371/journal.pgen.1005974.s015</a>.","ista":"Boehm A, Arnoldini M, Bergmiller T, Röösli T, Bigosch C, Ackermann M. 2016. Quantification of the growth rate reduction as a consequence of age-specific mortality, Public Library of Science, <a href=\"https://doi.org/10.1371/journal.pgen.1005974.s015\">10.1371/journal.pgen.1005974.s015</a>."}},{"language":[{"iso":"eng"}],"has_accepted_license":"1","publication":"PLoS Genetics","project":[{"name":"Limits to selection in biology and in evolutionary computation","grant_number":"250152","call_identifier":"FP7","_id":"25B07788-B435-11E9-9278-68D0E5697425"}],"oa_version":"Published Version","month":"11","file":[{"file_id":"4657","creator":"system","relation":"main_file","access_level":"open_access","date_updated":"2020-07-14T12:45:10Z","content_type":"application/pdf","file_name":"IST-2016-463-v1+1_journal.pgen.1005639.pdf","date_created":"2018-12-12T10:07:58Z","file_size":2580778,"checksum":"a4e72fca5ccf40ddacf4d08c8e46b554"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","related_material":{"record":[{"id":"9712","relation":"research_data","status":"public"},{"status":"public","relation":"dissertation_contains","id":"1131"}]},"status":"public","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"type":"journal_article","date_published":"2015-11-06T00:00:00Z","publist_id":"5483","oa":1,"quality_controlled":"1","ec_funded":1,"file_date_updated":"2020-07-14T12:45:10Z","publisher":"Public Library of Science","scopus_import":1,"_id":"1666","issue":"11","author":[{"id":"37C323C6-F248-11E8-B48F-1D18A9856A87","first_name":"Murat","last_name":"Tugrul","orcid":"0000-0002-8523-0758","full_name":"Tugrul, Murat"},{"id":"2C5658E6-F248-11E8-B48F-1D18A9856A87","last_name":"Paixao","first_name":"Tiago","full_name":"Paixao, Tiago","orcid":"0000-0003-2361-3953"},{"first_name":"Nicholas H","last_name":"Barton","orcid":"0000-0002-8548-5240","full_name":"Barton, Nicholas H","id":"4880FE40-F248-11E8-B48F-1D18A9856A87"},{"id":"3D494DCA-F248-11E8-B48F-1D18A9856A87","last_name":"Tkacik","first_name":"Gasper","full_name":"Tkacik, Gasper","orcid":"0000-0002-6699-1455"}],"date_created":"2018-12-11T11:53:21Z","department":[{"_id":"NiBa"},{"_id":"CaGu"},{"_id":"GaTk"}],"publication_status":"published","intvolume":"        11","title":"Dynamics of transcription factor binding site evolution","pubrep_id":"463","volume":11,"ddc":["576"],"citation":{"mla":"Tugrul, Murat, et al. “Dynamics of Transcription Factor Binding Site Evolution.” <i>PLoS Genetics</i>, vol. 11, no. 11, Public Library of Science, 2015, doi:<a href=\"https://doi.org/10.1371/journal.pgen.1005639\">10.1371/journal.pgen.1005639</a>.","short":"M. Tugrul, T. Paixao, N.H. Barton, G. Tkačik, PLoS Genetics 11 (2015).","ista":"Tugrul M, Paixao T, Barton NH, Tkačik G. 2015. Dynamics of transcription factor binding site evolution. PLoS Genetics. 11(11).","ama":"Tugrul M, Paixao T, Barton NH, Tkačik G. Dynamics of transcription factor binding site evolution. <i>PLoS Genetics</i>. 2015;11(11). doi:<a href=\"https://doi.org/10.1371/journal.pgen.1005639\">10.1371/journal.pgen.1005639</a>","apa":"Tugrul, M., Paixao, T., Barton, N. H., &#38; Tkačik, G. (2015). Dynamics of transcription factor binding site evolution. <i>PLoS Genetics</i>. Public Library of Science. <a href=\"https://doi.org/10.1371/journal.pgen.1005639\">https://doi.org/10.1371/journal.pgen.1005639</a>","chicago":"Tugrul, Murat, Tiago Paixao, Nicholas H Barton, and Gašper Tkačik. “Dynamics of Transcription Factor Binding Site Evolution.” <i>PLoS Genetics</i>. Public Library of Science, 2015. <a href=\"https://doi.org/10.1371/journal.pgen.1005639\">https://doi.org/10.1371/journal.pgen.1005639</a>.","ieee":"M. Tugrul, T. Paixao, N. H. Barton, and G. Tkačik, “Dynamics of transcription factor binding site evolution,” <i>PLoS Genetics</i>, vol. 11, no. 11. Public Library of Science, 2015."},"year":"2015","date_updated":"2023-09-07T11:53:49Z","day":"06","doi":"10.1371/journal.pgen.1005639","abstract":[{"text":"Evolution of gene regulation is crucial for our understanding of the phenotypic differences between species, populations and individuals. Sequence-specific binding of transcription factors to the regulatory regions on the DNA is a key regulatory mechanism that determines gene expression and hence heritable phenotypic variation. We use a biophysical model for directional selection on gene expression to estimate the rates of gain and loss of transcription factor binding sites (TFBS) in finite populations under both point and insertion/deletion mutations. Our results show that these rates are typically slow for a single TFBS in an isolated DNA region, unless the selection is extremely strong. These rates decrease drastically with increasing TFBS length or increasingly specific protein-DNA interactions, making the evolution of sites longer than ∼ 10 bp unlikely on typical eukaryotic speciation timescales. Similarly, evolution converges to the stationary distribution of binding sequences very slowly, making the equilibrium assumption questionable. The availability of longer regulatory sequences in which multiple binding sites can evolve simultaneously, the presence of “pre-sites” or partially decayed old sites in the initial sequence, and biophysical cooperativity between transcription factors, can all facilitate gain of TFBS and reconcile theoretical calculations with timescales inferred from comparative genomics.","lang":"eng"}]},{"page":"469 - 483","quality_controlled":"1","series_title":"Lecture Notes in Computer Science","ec_funded":1,"publisher":"Springer","author":[{"orcid":"0000-0001-8180-0904","full_name":"Giacobbe, Mirco","first_name":"Mirco","last_name":"Giacobbe","id":"3444EA5E-F248-11E8-B48F-1D18A9856A87"},{"id":"47F8433E-F248-11E8-B48F-1D18A9856A87","last_name":"Guet","first_name":"Calin C","full_name":"Guet, Calin C","orcid":"0000-0001-6220-2052"},{"id":"335E5684-F248-11E8-B48F-1D18A9856A87","full_name":"Gupta, Ashutosh","first_name":"Ashutosh","last_name":"Gupta"},{"last_name":"Henzinger","first_name":"Thomas A","full_name":"Henzinger, Thomas A","orcid":"0000−0002−2985−7724","id":"40876CD8-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Tiago","last_name":"Paixao","orcid":"0000-0003-2361-3953","full_name":"Paixao, Tiago","id":"2C5658E6-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Tatjana","last_name":"Petrov","orcid":"0000-0002-9041-0905","full_name":"Petrov, Tatjana","id":"3D5811FC-F248-11E8-B48F-1D18A9856A87"}],"_id":"1835","scopus_import":1,"alternative_title":["LNCS"],"title":"Model checking gene regulatory networks","intvolume":"      9035","publication_status":"published","department":[{"_id":"ToHe"},{"_id":"CaGu"},{"_id":"NiBa"}],"date_created":"2018-12-11T11:54:16Z","volume":9035,"acknowledgement":"SNSF Early Postdoc.Mobility Fellowship, the grant number P2EZP2 148797.\r\n","date_updated":"2025-05-28T11:57:04Z","year":"2015","citation":{"ista":"Giacobbe M, Guet CC, Gupta A, Henzinger TA, Paixao T, Petrov T. 2015. Model checking gene regulatory networks. 9035, 469–483.","mla":"Giacobbe, Mirco, et al. <i>Model Checking Gene Regulatory Networks</i>. Vol. 9035, Springer, 2015, pp. 469–83, doi:<a href=\"https://doi.org/10.1007/978-3-662-46681-0_47\">10.1007/978-3-662-46681-0_47</a>.","short":"M. Giacobbe, C.C. Guet, A. Gupta, T.A. Henzinger, T. Paixao, T. Petrov, 9035 (2015) 469–483.","ieee":"M. Giacobbe, C. C. Guet, A. Gupta, T. A. Henzinger, T. Paixao, and T. Petrov, “Model checking gene regulatory networks,” vol. 9035. Springer, pp. 469–483, 2015.","chicago":"Giacobbe, Mirco, Calin C Guet, Ashutosh Gupta, Thomas A Henzinger, Tiago Paixao, and Tatjana Petrov. “Model Checking Gene Regulatory Networks.” Lecture Notes in Computer Science. Springer, 2015. <a href=\"https://doi.org/10.1007/978-3-662-46681-0_47\">https://doi.org/10.1007/978-3-662-46681-0_47</a>.","ama":"Giacobbe M, Guet CC, Gupta A, Henzinger TA, Paixao T, Petrov T. Model checking gene regulatory networks. 2015;9035:469-483. doi:<a href=\"https://doi.org/10.1007/978-3-662-46681-0_47\">10.1007/978-3-662-46681-0_47</a>","apa":"Giacobbe, M., Guet, C. C., Gupta, A., Henzinger, T. A., Paixao, T., &#38; Petrov, T. (2015). Model checking gene regulatory networks. Presented at the TACAS: Tools and Algorithms for the Construction and Analysis of Systems, London, United Kingdom: Springer. <a href=\"https://doi.org/10.1007/978-3-662-46681-0_47\">https://doi.org/10.1007/978-3-662-46681-0_47</a>"},"abstract":[{"lang":"eng","text":"The behaviour of gene regulatory networks (GRNs) is typically analysed using simulation-based statistical testing-like methods. In this paper, we demonstrate that we can replace this approach by a formal verification-like method that gives higher assurance and scalability. We focus on Wagner’s weighted GRN model with varying weights, which is used in evolutionary biology. In the model, weight parameters represent the gene interaction strength that may change due to genetic mutations. For a property of interest, we synthesise the constraints over the parameter space that represent the set of GRNs satisfying the property. We experimentally show that our parameter synthesis procedure computes the mutational robustness of GRNs –an important problem of interest in evolutionary biology– more efficiently than the classical simulation method. We specify the property in linear temporal logics. We employ symbolic bounded model checking and SMT solving to compute the space of GRNs that satisfy the property, which amounts to synthesizing a set of linear constraints on the weights."}],"doi":"10.1007/978-3-662-46681-0_47","day":"01","language":[{"iso":"eng"}],"conference":{"start_date":"2015-04-11","name":"TACAS: Tools and Algorithms for the Construction and Analysis of Systems","end_date":"2015-04-18","location":"London, United Kingdom"},"month":"04","oa_version":"Preprint","project":[{"grant_number":"267989","name":"Quantitative Reactive Modeling","_id":"25EE3708-B435-11E9-9278-68D0E5697425","call_identifier":"FP7"},{"_id":"25832EC2-B435-11E9-9278-68D0E5697425","call_identifier":"FWF","name":"Rigorous Systems Engineering","grant_number":"S 11407_N23"},{"_id":"25F42A32-B435-11E9-9278-68D0E5697425","call_identifier":"FWF","name":"The Wittgenstein Prize","grant_number":"Z211"},{"name":"Speed of Adaptation in Population Genetics and Evolutionary Computation","grant_number":"618091","call_identifier":"FP7","_id":"25B1EC9E-B435-11E9-9278-68D0E5697425"},{"grant_number":"250152","name":"Limits to selection in biology and in evolutionary computation","call_identifier":"FP7","_id":"25B07788-B435-11E9-9278-68D0E5697425"},{"grant_number":"291734","name":"International IST Postdoc Fellowship Programme","_id":"25681D80-B435-11E9-9278-68D0E5697425","call_identifier":"FP7"}],"related_material":{"record":[{"relation":"later_version","id":"1351","status":"public"}]},"status":"public","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","main_file_link":[{"open_access":"1","url":"http://arxiv.org/abs/1410.7704"}],"date_published":"2015-04-01T00:00:00Z","type":"conference","oa":1,"publist_id":"5267"},{"main_file_link":[{"url":"http://arxiv.org/abs/1304.6603","open_access":"1"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","status":"public","publication_identifier":{"issn":["0018-9286"]},"oa":1,"publist_id":"5262","date_published":"2015-04-01T00:00:00Z","type":"journal_article","language":[{"iso":"eng"}],"oa_version":"Preprint","month":"04","publication":"IEEE Transactions on Automatic Control","acknowledgement":"This work was supported by the Austrian Research Association under Project 06/12684, by the Swiss National Science Foundation (SNSF) under Grant PP00P2 128503/1, by the SystemsX.ch (the Swiss Inititative for Systems Biology), and by a SNSF Early Postdoc.Mobility Fellowship grant P2EZP2_148797.\r\n","volume":60,"doi":"10.1109/TAC.2014.2364971","day":"01","abstract":[{"lang":"eng","text":"In this paper, we present a method for reducing a regular, discrete-time Markov chain (DTMC) to another DTMC with a given, typically much smaller number of states. The cost of reduction is defined as the Kullback-Leibler divergence rate between a projection of the original process through a partition function and a DTMC on the correspondingly partitioned state space. Finding the reduced model with minimal cost is computationally expensive, as it requires an exhaustive search among all state space partitions, and an exact evaluation of the reduction cost for each candidate partition. Our approach deals with the latter problem by minimizing an upper bound on the reduction cost instead of minimizing the exact cost. The proposed upper bound is easy to compute and it is tight if the original chain is lumpable with respect to the partition. Then, we express the problem in the form of information bottleneck optimization, and propose using the agglomerative information bottleneck algorithm for searching a suboptimal partition greedily, rather than exhaustively. The theory is illustrated with examples and one application scenario in the context of modeling bio-molecular interactions."}],"date_updated":"2021-01-12T06:53:33Z","year":"2015","citation":{"ista":"Geiger B, Petrov T, Kubin G, Koeppl H. 2015. Optimal Kullback-Leibler aggregation via information bottleneck. IEEE Transactions on Automatic Control. 60(4), 1010–1022.","short":"B. Geiger, T. Petrov, G. Kubin, H. Koeppl, IEEE Transactions on Automatic Control 60 (2015) 1010–1022.","mla":"Geiger, Bernhard, et al. “Optimal Kullback-Leibler Aggregation via Information Bottleneck.” <i>IEEE Transactions on Automatic Control</i>, vol. 60, no. 4, IEEE, 2015, pp. 1010–22, doi:<a href=\"https://doi.org/10.1109/TAC.2014.2364971\">10.1109/TAC.2014.2364971</a>.","chicago":"Geiger, Bernhard, Tatjana Petrov, Gernot Kubin, and Heinz Koeppl. “Optimal Kullback-Leibler Aggregation via Information Bottleneck.” <i>IEEE Transactions on Automatic Control</i>. IEEE, 2015. <a href=\"https://doi.org/10.1109/TAC.2014.2364971\">https://doi.org/10.1109/TAC.2014.2364971</a>.","ieee":"B. Geiger, T. Petrov, G. Kubin, and H. Koeppl, “Optimal Kullback-Leibler aggregation via information bottleneck,” <i>IEEE Transactions on Automatic Control</i>, vol. 60, no. 4. IEEE, pp. 1010–1022, 2015.","ama":"Geiger B, Petrov T, Kubin G, Koeppl H. Optimal Kullback-Leibler aggregation via information bottleneck. <i>IEEE Transactions on Automatic Control</i>. 2015;60(4):1010-1022. doi:<a href=\"https://doi.org/10.1109/TAC.2014.2364971\">10.1109/TAC.2014.2364971</a>","apa":"Geiger, B., Petrov, T., Kubin, G., &#38; Koeppl, H. (2015). Optimal Kullback-Leibler aggregation via information bottleneck. <i>IEEE Transactions on Automatic Control</i>. IEEE. <a href=\"https://doi.org/10.1109/TAC.2014.2364971\">https://doi.org/10.1109/TAC.2014.2364971</a>"},"publisher":"IEEE","page":"1010 - 1022","quality_controlled":"1","publication_status":"published","department":[{"_id":"CaGu"},{"_id":"ToHe"}],"date_created":"2018-12-11T11:54:18Z","title":"Optimal Kullback-Leibler aggregation via information bottleneck","intvolume":"        60","_id":"1840","scopus_import":1,"author":[{"full_name":"Geiger, Bernhard","last_name":"Geiger","first_name":"Bernhard"},{"id":"3D5811FC-F248-11E8-B48F-1D18A9856A87","full_name":"Petrov, Tatjana","orcid":"0000-0002-9041-0905","last_name":"Petrov","first_name":"Tatjana"},{"first_name":"Gernot","last_name":"Kubin","full_name":"Kubin, Gernot"},{"full_name":"Koeppl, Heinz","last_name":"Koeppl","first_name":"Heinz"}],"issue":"4"},{"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode","short":"CC BY-NC-ND (4.0)","name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","image":"/images/cc_by_nc_nd.png"},"type":"journal_article","date_published":"2015-10-21T00:00:00Z","publist_id":"5629","oa":1,"file":[{"file_id":"5244","creator":"system","access_level":"open_access","relation":"main_file","date_updated":"2020-07-14T12:45:01Z","file_name":"IST-2016-483-v1+1_1-s2.0-S0022519315003409-main.pdf","content_type":"application/pdf","date_created":"2018-12-12T10:16:53Z","file_size":595307,"checksum":"33b60ecfea60764756a9ee9df5eb65ca"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","status":"public","has_accepted_license":"1","publication":" Journal of Theoretical Biology","project":[{"name":"Speed of Adaptation in Population Genetics and Evolutionary Computation","grant_number":"618091","call_identifier":"FP7","_id":"25B1EC9E-B435-11E9-9278-68D0E5697425"},{"_id":"25B07788-B435-11E9-9278-68D0E5697425","call_identifier":"FP7","grant_number":"250152","name":"Limits to selection in biology and in evolutionary computation"}],"oa_version":"Published Version","month":"10","language":[{"iso":"eng"}],"citation":{"ista":"Paixao T, Badkobeh G, Barton NH, Çörüş D, Dang D, Friedrich T, Lehre P, Sudholt D, Sutton A, Trubenova B. 2015. Toward a unifying framework for evolutionary processes.  Journal of Theoretical Biology. 383, 28–43.","short":"T. Paixao, G. Badkobeh, N.H. Barton, D. Çörüş, D. Dang, T. Friedrich, P. Lehre, D. Sudholt, A. Sutton, B. Trubenova,  Journal of Theoretical Biology 383 (2015) 28–43.","mla":"Paixao, Tiago, et al. “Toward a Unifying Framework for Evolutionary Processes.” <i> Journal of Theoretical Biology</i>, vol. 383, Elsevier, 2015, pp. 28–43, doi:<a href=\"https://doi.org/10.1016/j.jtbi.2015.07.011\">10.1016/j.jtbi.2015.07.011</a>.","ieee":"T. Paixao <i>et al.</i>, “Toward a unifying framework for evolutionary processes,” <i> Journal of Theoretical Biology</i>, vol. 383. Elsevier, pp. 28–43, 2015.","chicago":"Paixao, Tiago, Golnaz Badkobeh, Nicholas H Barton, Doğan Çörüş, Duccuong Dang, Tobias Friedrich, Per Lehre, Dirk Sudholt, Andrew Sutton, and Barbora Trubenova. “Toward a Unifying Framework for Evolutionary Processes.” <i> Journal of Theoretical Biology</i>. Elsevier, 2015. <a href=\"https://doi.org/10.1016/j.jtbi.2015.07.011\">https://doi.org/10.1016/j.jtbi.2015.07.011</a>.","apa":"Paixao, T., Badkobeh, G., Barton, N. H., Çörüş, D., Dang, D., Friedrich, T., … Trubenova, B. (2015). Toward a unifying framework for evolutionary processes. <i> Journal of Theoretical Biology</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.jtbi.2015.07.011\">https://doi.org/10.1016/j.jtbi.2015.07.011</a>","ama":"Paixao T, Badkobeh G, Barton NH, et al. Toward a unifying framework for evolutionary processes. <i> Journal of Theoretical Biology</i>. 2015;383:28-43. doi:<a href=\"https://doi.org/10.1016/j.jtbi.2015.07.011\">10.1016/j.jtbi.2015.07.011</a>"},"year":"2015","date_updated":"2021-01-12T06:51:29Z","day":"21","doi":"10.1016/j.jtbi.2015.07.011","abstract":[{"text":"The theory of population genetics and evolutionary computation have been evolving separately for nearly 30 years. Many results have been independently obtained in both fields and many others are unique to its respective field. We aim to bridge this gap by developing a unifying framework for evolutionary processes that allows both evolutionary algorithms and population genetics models to be cast in the same formal framework. The framework we present here decomposes the evolutionary process into its several components in order to facilitate the identification of similarities between different models. In particular, we propose a classification of evolutionary operators based on the defining properties of the different components. We cast several commonly used operators from both fields into this common framework. Using this, we map different evolutionary and genetic algorithms to different evolutionary regimes and identify candidates with the most potential for the translation of results between the fields. This provides a unified description of evolutionary processes and represents a stepping stone towards new tools and results to both fields. ","lang":"eng"}],"volume":383,"ddc":["570"],"scopus_import":1,"_id":"1542","author":[{"id":"2C5658E6-F248-11E8-B48F-1D18A9856A87","first_name":"Tiago","last_name":"Paixao","orcid":"0000-0003-2361-3953","full_name":"Paixao, Tiago"},{"full_name":"Badkobeh, Golnaz","last_name":"Badkobeh","first_name":"Golnaz"},{"id":"4880FE40-F248-11E8-B48F-1D18A9856A87","last_name":"Barton","first_name":"Nicholas H","full_name":"Barton, Nicholas H","orcid":"0000-0002-8548-5240"},{"full_name":"Çörüş, Doğan","last_name":"Çörüş","first_name":"Doğan"},{"full_name":"Dang, Duccuong","first_name":"Duccuong","last_name":"Dang"},{"last_name":"Friedrich","first_name":"Tobias","full_name":"Friedrich, Tobias"},{"first_name":"Per","last_name":"Lehre","full_name":"Lehre, Per"},{"full_name":"Sudholt, Dirk","first_name":"Dirk","last_name":"Sudholt"},{"first_name":"Andrew","last_name":"Sutton","full_name":"Sutton, Andrew"},{"id":"42302D54-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-6873-2967","full_name":"Trubenova, Barbora","first_name":"Barbora","last_name":"Trubenova"}],"date_created":"2018-12-11T11:52:37Z","department":[{"_id":"NiBa"},{"_id":"CaGu"}],"publication_status":"published","intvolume":"       383","title":"Toward a unifying framework for evolutionary processes","pubrep_id":"483","quality_controlled":"1","ec_funded":1,"page":"28 - 43","file_date_updated":"2020-07-14T12:45:01Z","publisher":"Elsevier"},{"language":[{"iso":"eng"}],"page":"1455 - 1462","quality_controlled":"1","ec_funded":1,"conference":{"start_date":"2015-07-11","name":"GECCO: Genetic and evolutionary computation conference","location":"Madrid, Spain","end_date":"2015-07-15"},"publisher":"ACM","author":[{"id":"2C5658E6-F248-11E8-B48F-1D18A9856A87","full_name":"Paixao, Tiago","orcid":"0000-0003-2361-3953","last_name":"Paixao","first_name":"Tiago"},{"first_name":"Dirk","last_name":"Sudholt","full_name":"Sudholt, Dirk"},{"full_name":"Heredia, Jorge","last_name":"Heredia","first_name":"Jorge"},{"id":"42302D54-F248-11E8-B48F-1D18A9856A87","last_name":"Trubenova","first_name":"Barbora","full_name":"Trubenova, Barbora","orcid":"0000-0002-6873-2967"}],"_id":"1430","publication":"Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation","scopus_import":1,"title":"First steps towards a runtime comparison of natural and artificial evolution","month":"07","publication_status":"published","oa_version":"Preprint","project":[{"call_identifier":"FP7","_id":"25B1EC9E-B435-11E9-9278-68D0E5697425","grant_number":"618091","name":"Speed of Adaptation in Population Genetics and Evolutionary Computation"}],"department":[{"_id":"NiBa"},{"_id":"CaGu"}],"date_created":"2018-12-11T11:51:58Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","status":"public","main_file_link":[{"url":"http://arxiv.org/abs/1504.06260","open_access":"1"}],"date_published":"2015-07-11T00:00:00Z","type":"conference","date_updated":"2021-01-12T06:50:41Z","citation":{"ama":"Paixao T, Sudholt D, Heredia J, Trubenova B. First steps towards a runtime comparison of natural and artificial evolution. In: <i>Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation</i>. ACM; 2015:1455-1462. doi:<a href=\"https://doi.org/10.1145/2739480.2754758\">10.1145/2739480.2754758</a>","apa":"Paixao, T., Sudholt, D., Heredia, J., &#38; Trubenova, B. (2015). First steps towards a runtime comparison of natural and artificial evolution. In <i>Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation</i> (pp. 1455–1462). Madrid, Spain: ACM. <a href=\"https://doi.org/10.1145/2739480.2754758\">https://doi.org/10.1145/2739480.2754758</a>","chicago":"Paixao, Tiago, Dirk Sudholt, Jorge Heredia, and Barbora Trubenova. “First Steps towards a Runtime Comparison of Natural and Artificial Evolution.” In <i>Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation</i>, 1455–62. ACM, 2015. <a href=\"https://doi.org/10.1145/2739480.2754758\">https://doi.org/10.1145/2739480.2754758</a>.","ieee":"T. Paixao, D. Sudholt, J. Heredia, and B. Trubenova, “First steps towards a runtime comparison of natural and artificial evolution,” in <i>Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation</i>, Madrid, Spain, 2015, pp. 1455–1462.","short":"T. Paixao, D. Sudholt, J. Heredia, B. Trubenova, in:, Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, ACM, 2015, pp. 1455–1462.","mla":"Paixao, Tiago, et al. “First Steps towards a Runtime Comparison of Natural and Artificial Evolution.” <i>Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation</i>, ACM, 2015, pp. 1455–62, doi:<a href=\"https://doi.org/10.1145/2739480.2754758\">10.1145/2739480.2754758</a>.","ista":"Paixao T, Sudholt D, Heredia J, Trubenova B. 2015. First steps towards a runtime comparison of natural and artificial evolution. Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation. GECCO: Genetic and evolutionary computation conference, 1455–1462."},"year":"2015","abstract":[{"lang":"eng","text":"Evolutionary algorithms (EAs) form a popular optimisation paradigm inspired by natural evolution. In recent years the field of evolutionary computation has developed a rigorous analytical theory to analyse their runtime on many illustrative problems. Here we apply this theory to a simple model of natural evolution. In the Strong Selection Weak Mutation (SSWM) evolutionary regime the time between occurrence of new mutations is much longer than the time it takes for a new beneficial mutation to take over the population. In this situation, the population only contains copies of one genotype and evolution can be modelled as a (1+1)-type process where the probability of accepting a new genotype (improvements or worsenings) depends on the change in fitness. We present an initial runtime analysis of SSWM, quantifying its performance for various parameters and investigating differences to the (1+1) EA. We show that SSWM can have a moderate advantage over the (1+1) EA at crossing fitness valleys and study an example where SSWM outperforms the (1+1) EA by taking advantage of information on the fitness gradient."}],"oa":1,"publist_id":"5768","doi":"10.1145/2739480.2754758","day":"11"}]