Growthmediated negative feedback shapes quantitative antibiotic response
A. Angermayr, T.Y. Pang, G. Chevereau, K. Mitosch, M.J. Lercher, M.T. Bollenbach, Molecular Systems Biology 18 (2022).

Quantitative investigation of gene expression principles through combinatorial drug perturbation and theory
M. Lukacisin, Quantitative Investigation of Gene Expression Principles through Combinatorial Drug Perturbation and Theory, IST Austria, 2019.

Emergent gene expression responses to drug combinations predict higher-order drug interactions
M. Lukacisin, M.T. Bollenbach, Cell Systems 9 (2019) 423-433.e1-e3.

Genetic determinants of antibiotic resistance evolution
M. Lukacisinova, Genetic Determinants of Antibiotic Resistance Evolution, Institute of Science and Technology Austria, 2018.

Nonhierarchical flux regulation exposes the fitness burden associated with lactate production in Synechocystis sp. P
W. Du, A. Angermayr, J. Jongbloets, D. Molenaar, H. Bachmann, K. Hellingwerf, F. Branco Dos Santos, ACS Synthetic Biology 6 (2017) 395–401.

MATLAB analysis code for 'Sequence-Specific Thermodynamic Properties of Nucleic Acids Influence Both Transcriptional Pausing and Backtracking in Yeast'
M. Lukacisin, (2017).

Timing, variability and cross-protection in bacteria – insights from dynamic gene expression responses to antibiotics
K. Mitosch, Timing, Variability and Cross-Protection in Bacteria – Insights from Dynamic Gene Expression Responses to Antibiotics, Institute of Science and Technology Austria, 2017.

Interaction networks, ecological stability, and collective antibiotic tolerance in polymicrobial infections
M. de Vos, M.P. Zagórski, A. Mcnally, M.T. Bollenbach, PNAS 114 (2017) 10666–10671.

Noisy response to antibiotic stress predicts subsequent single cell survival in an acidic environment
K. Mitosch, G. Rieckh, M.T. Bollenbach, Cell Systems 4 (2017) 393–403.

Stress induced mutagenesis: Stress diversity facilitates the persistence of mutator genes
M. Lukacisinova, S. Novak, T. Paixao, PLoS Computational Biology 13 (2017).

Modelling and simulation details
M. Lukacisinova, S. Novak, T. Paixao, (2017).

Extensions of the model
M. Lukacisinova, S. Novak, T. Paixao, (2017).

Heuristic prediction for multiple stresses
M. Lukacisinova, S. Novak, T. Paixao, (2017).

Resistance frequencies for different combination strategies
M. Lukacisinova, S. Novak, T. Paixao, (2017).

Toward a quantitative understanding of antibiotic resistance evolution
M. Lukacisinova, M.T. Bollenbach, Current Opinion in Biotechnology 46 (2017) 90–97.

Sequence-specific thermodynamic properties of nucleic acids influence both transcriptional pausing and backtracking in yeast
M. Lukacisin, M. Landon, R. Jajoo, PLoS One 12 (2017).

MATLAB analysis code for 'Sequence-Specific Thermodynamic Properties of Nucleic Acids Influence Both Transcriptional Pausing and Backtracking in Yeast'
M. Lukacisin, M. Landon, R. Jajoo, (2016).

A microfluidic device for measuring cell migration towards substrate bound and soluble chemokine gradients
J. Schwarz, V. Bierbaum, J. Merrin, T. Frank, R. Hauschild, M.T. Bollenbach, S. Tay, M.K. Sixt, M. Mehling, Scientific Reports 6 (2016).

Culturing synechocystis sp. Strain pcc 6803 with N2 and CO2 in a diel regime reveals multiphase glycogen dynamics with low maintenance costs
A. Angermayr, P. Van Alphen, D. Hasdemir, G. Kramer, M. Iqbal, W. Van Grondelle, H. Hoefsloot, Y. Choi, K. Hellingwerf, Applied and Environmental Microbiology 82 (2016) 4180–4189.

The genomic basis of adaptation to the fitness cost of rifampicin resistance in Pseudomonas aeruginosa
Q. Qi, M. Toll Riera, K. Heilbron, G. Preston, R.C. Maclean, Proceedings of the Royal Society of London Series B Biological Sciences 283 (2016).