---
_id: '1077'
abstract:
- lang: eng
  text: Viral capsids are structurally constrained by interactions among the amino
    acids (AAs) of their constituent proteins. Therefore, epistasis is expected to
    evolve among physically interacting sites and to influence the rates of substitution.
    To study the evolution of epistasis, we focused on the major structural protein
    of the fX174 phage family by first reconstructing the ancestral protein sequences
    of 18 species using a Bayesian statistical framework. The inferred ancestral reconstruction
    differed at eight AAs, for a total of 256 possible ancestral haplotypes. For each
    ancestral haplotype and the extant species, we estimated, in silico, the distribution
    of free energies and epistasis of the capsid structure. We found that free energy
    has not significantly increased but epistasis has. We decomposed epistasis up
    to fifth order and found that higher-order epistasis sometimes compensates pairwise
    interactions making the free energy seem additive. The dN/dS ratio is low, suggesting
    strong purifying selection, and that structure is under stabilizing selection.
    We synthesized phages carrying ancestral haplotypes of the coat protein gene and
    measured their fitness experimentally. Our findings indicate that stabilizing
    mutations can have higher fitness, and that fitness optima do not necessarily
    coincide with energy minima.
article_number: '20160139'
article_processing_charge: Yes (in subscription journal)
author:
- first_name: Rodrigo A
  full_name: Fernandes Redondo, Rodrigo A
  id: 409D5C96-F248-11E8-B48F-1D18A9856A87
  last_name: Fernandes Redondo
  orcid: 0000-0002-5837-2793
- first_name: Harold
  full_name: Vladar, Harold
  id: 2A181218-F248-11E8-B48F-1D18A9856A87
  last_name: Vladar
  orcid: 0000-0002-5985-7653
- first_name: Tomasz
  full_name: Włodarski, Tomasz
  last_name: Włodarski
- first_name: Jonathan P
  full_name: Bollback, Jonathan P
  id: 2C6FA9CC-F248-11E8-B48F-1D18A9856A87
  last_name: Bollback
  orcid: 0000-0002-4624-4612
citation:
  ama: Fernandes Redondo RA, de Vladar H, Włodarski T, Bollback JP. Evolutionary interplay
    between structure, energy and epistasis in the coat protein of the ϕX174 phage
    family. <i>Journal of the Royal Society Interface</i>. 2017;14(126). doi:<a href="https://doi.org/10.1098/rsif.2016.0139">10.1098/rsif.2016.0139</a>
  apa: Fernandes Redondo, R. A., de Vladar, H., Włodarski, T., &#38; Bollback, J.
    P. (2017). Evolutionary interplay between structure, energy and epistasis in the
    coat protein of the ϕX174 phage family. <i>Journal of the Royal Society Interface</i>.
    Royal Society of London. <a href="https://doi.org/10.1098/rsif.2016.0139">https://doi.org/10.1098/rsif.2016.0139</a>
  chicago: Fernandes Redondo, Rodrigo A, Harold de Vladar, Tomasz Włodarski, and Jonathan
    P Bollback. “Evolutionary Interplay between Structure, Energy and Epistasis in
    the Coat Protein of the ΦX174 Phage Family.” <i>Journal of the Royal Society Interface</i>.
    Royal Society of London, 2017. <a href="https://doi.org/10.1098/rsif.2016.0139">https://doi.org/10.1098/rsif.2016.0139</a>.
  ieee: R. A. Fernandes Redondo, H. de Vladar, T. Włodarski, and J. P. Bollback, “Evolutionary
    interplay between structure, energy and epistasis in the coat protein of the ϕX174
    phage family,” <i>Journal of the Royal Society Interface</i>, vol. 14, no. 126.
    Royal Society of London, 2017.
  ista: Fernandes Redondo RA, de Vladar H, Włodarski T, Bollback JP. 2017. Evolutionary
    interplay between structure, energy and epistasis in the coat protein of the ϕX174
    phage family. Journal of the Royal Society Interface. 14(126), 20160139.
  mla: Fernandes Redondo, Rodrigo A., et al. “Evolutionary Interplay between Structure,
    Energy and Epistasis in the Coat Protein of the ΦX174 Phage Family.” <i>Journal
    of the Royal Society Interface</i>, vol. 14, no. 126, 20160139, Royal Society
    of London, 2017, doi:<a href="https://doi.org/10.1098/rsif.2016.0139">10.1098/rsif.2016.0139</a>.
  short: R.A. Fernandes Redondo, H. de Vladar, T. Włodarski, J.P. Bollback, Journal
    of the Royal Society Interface 14 (2017).
date_created: 2018-12-11T11:50:01Z
date_published: 2017-01-04T00:00:00Z
date_updated: 2025-05-28T11:42:51Z
day: '04'
ddc:
- '570'
department:
- _id: NiBa
- _id: JoBo
doi: 10.1098/rsif.2016.0139
ec_funded: 1
external_id:
  isi:
  - '000393380400001'
file:
- access_level: open_access
  content_type: application/pdf
  creator: dernst
  date_created: 2019-01-18T09:14:02Z
  date_updated: 2019-01-18T09:14:02Z
  file_id: '5843'
  file_name: 2017_JRSI_Redondo.pdf
  file_size: 1092015
  relation: main_file
  success: 1
file_date_updated: 2019-01-18T09:14:02Z
has_accepted_license: '1'
intvolume: '        14'
isi: 1
issue: '126'
language:
- iso: eng
month: '01'
oa: 1
oa_version: Published Version
project:
- _id: 25B07788-B435-11E9-9278-68D0E5697425
  call_identifier: FP7
  grant_number: '250152'
  name: Limits to selection in biology and in evolutionary computation
- _id: 2578D616-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '648440'
  name: Selective Barriers to Horizontal Gene Transfer
publication: Journal of the Royal Society Interface
publication_identifier:
  issn:
  - '17425689'
publication_status: published
publisher: Royal Society of London
publist_id: '6303'
quality_controlled: '1'
related_material:
  record:
  - id: '9864'
    relation: research_data
    status: public
scopus_import: '1'
status: public
title: Evolutionary interplay between structure, energy and epistasis in the coat
  protein of the ϕX174 phage family
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 14
year: '2017'
...
---
_id: '9864'
abstract:
- lang: eng
  text: Viral capsids are structurally constrained by interactions among the amino
    acids (AAs) of their constituent proteins. Therefore, epistasis is expected to
    evolve among physically interacting sites and to influence the rates of substitution.
    To study the evolution of epistasis, we focused on the major structural protein
    of the ϕX174 phage family by, first, reconstructing the ancestral protein sequences
    of 18 species using a Bayesian statistical framework. The inferred ancestral reconstruction
    differed at eight AAs, for a total of 256 possible ancestral haplotypes. For each
    ancestral haplotype and the extant species, we estimated, in silico, the distribution
    of free energies and epistasis of the capsid structure. We found that free energy
    has not significantly increased but epistasis has. We decomposed epistasis up
    to fifth order and found that higher-order epistasis sometimes compensates pairwise
    interactions making the free energy seem additive. The dN/dS ratio is low, suggesting
    strong purifying selection, and that structure is under stabilizing selection.
    We synthesized phages carrying ancestral haplotypes of the coat protein gene and
    measured their fitness experimentally. Our findings indicate that stabilizing
    mutations can have higher fitness, and that fitness optima do not necessarily
    coincide with energy minima.
article_processing_charge: No
author:
- first_name: Rodrigo A
  full_name: Fernandes Redondo, Rodrigo A
  id: 409D5C96-F248-11E8-B48F-1D18A9856A87
  last_name: Fernandes Redondo
  orcid: 0000-0002-5837-2793
- first_name: Harold
  full_name: de Vladar, Harold
  id: 2A181218-F248-11E8-B48F-1D18A9856A87
  last_name: de Vladar
  orcid: 0000-0002-5985-7653
- first_name: Tomasz
  full_name: Włodarski, Tomasz
  last_name: Włodarski
- first_name: Jonathan P
  full_name: Bollback, Jonathan P
  id: 2C6FA9CC-F248-11E8-B48F-1D18A9856A87
  last_name: Bollback
  orcid: 0000-0002-4624-4612
citation:
  ama: Fernandes Redondo RA, de Vladar H, Włodarski T, Bollback JP. Data from evolutionary
    interplay between structure, energy and epistasis in the coat protein of the ϕX174
    phage family. 2016. doi:<a href="https://doi.org/10.6084/m9.figshare.4315652.v1">10.6084/m9.figshare.4315652.v1</a>
  apa: Fernandes Redondo, R. A., de Vladar, H., Włodarski, T., &#38; Bollback, J.
    P. (2016). Data from evolutionary interplay between structure, energy and epistasis
    in the coat protein of the ϕX174 phage family. The Royal Society. <a href="https://doi.org/10.6084/m9.figshare.4315652.v1">https://doi.org/10.6084/m9.figshare.4315652.v1</a>
  chicago: Fernandes Redondo, Rodrigo A, Harold de Vladar, Tomasz Włodarski, and Jonathan
    P Bollback. “Data from Evolutionary Interplay between Structure, Energy and Epistasis
    in the Coat Protein of the ΦX174 Phage Family.” The Royal Society, 2016. <a href="https://doi.org/10.6084/m9.figshare.4315652.v1">https://doi.org/10.6084/m9.figshare.4315652.v1</a>.
  ieee: R. A. Fernandes Redondo, H. de Vladar, T. Włodarski, and J. P. Bollback, “Data
    from evolutionary interplay between structure, energy and epistasis in the coat
    protein of the ϕX174 phage family.” The Royal Society, 2016.
  ista: Fernandes Redondo RA, de Vladar H, Włodarski T, Bollback JP. 2016. Data from
    evolutionary interplay between structure, energy and epistasis in the coat protein
    of the ϕX174 phage family, The Royal Society, <a href="https://doi.org/10.6084/m9.figshare.4315652.v1">10.6084/m9.figshare.4315652.v1</a>.
  mla: Fernandes Redondo, Rodrigo A., et al. <i>Data from Evolutionary Interplay between
    Structure, Energy and Epistasis in the Coat Protein of the ΦX174 Phage Family</i>.
    The Royal Society, 2016, doi:<a href="https://doi.org/10.6084/m9.figshare.4315652.v1">10.6084/m9.figshare.4315652.v1</a>.
  short: R.A. Fernandes Redondo, H. de Vladar, T. Włodarski, J.P. Bollback, (2016).
date_created: 2021-08-10T08:29:47Z
date_published: 2016-12-14T00:00:00Z
date_updated: 2025-05-28T11:57:06Z
day: '14'
department:
- _id: NiBa
- _id: JoBo
doi: 10.6084/m9.figshare.4315652.v1
main_file_link:
- open_access: '1'
  url: https://doi.org/10.6084/m9.figshare.4315652.v1
month: '12'
oa: 1
oa_version: Published Version
publisher: The Royal Society
related_material:
  record:
  - id: '1077'
    relation: used_in_publication
    status: public
status: public
title: Data from evolutionary interplay between structure, energy and epistasis in
  the coat protein of the ϕX174 phage family
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2016'
...
---
_id: '2917'
abstract:
- lang: eng
  text: 'The search for extra-terrestrial intelligence (SETI) has been performed principally
    as a one-way survey, listening of radio frequencies across the Milky Way and other
    galaxies. However, scientists have engaged in an active messaging only rarely.
    This suggests the simple rationale that if other civilizations exist and take
    a similar approach to ours, namely listening but not broadcasting, the result
    is a silent universe. A simple game theoretical model, the prisoner''s dilemma,
    explains this situation: each player (civilization) can passively search (defect),
    or actively search and broadcast (cooperate). In order to maximize the payoff
    (or, equivalently, minimize the risks) the best strategy is not to broadcast.
    In fact, the active search has been opposed on the basis that it might be dangerous
    to expose ourselves. However, most of these ideas have not been based on objective
    arguments, and ignore accounting of the possible gains and losses. Thus, the question
    stands: should we perform an active search? I develop a game-theoretical framework
    where civilizations can be of different types, and explicitly apply it to a situation
    where societies are either interested in establishing a two-way communication
    or belligerent and in urge to exploit ours. The framework gives a quantitative
    solution (a mixed-strategy), which is how frequent we should perform the active
    SETI. This frequency is roughly proportional to the inverse of the risk, and can
    be extremely small. However, given the immense amount of stars being scanned,
    it supports active SETI. The model is compared with simulations, and the possible
    actions are evaluated through the San Marino scale, measuring the risks of messaging.'
author:
- first_name: Harold
  full_name: Vladar, Harold
  id: 2A181218-F248-11E8-B48F-1D18A9856A87
  last_name: Vladar
  orcid: 0000-0002-5985-7653
citation:
  ama: de Vladar H. The game of active search for extra terrestrial intelligence Breaking
    the Great Silence . <i>International Journal of Astrobiology</i>. 2012;12(1):53-62.
    doi:<a href="https://doi.org/10.1017/S1473550412000407">10.1017/S1473550412000407</a>
  apa: de Vladar, H. (2012). The game of active search for extra terrestrial intelligence
    Breaking the Great Silence . <i>International Journal of Astrobiology</i>. Cambridge
    University Press. <a href="https://doi.org/10.1017/S1473550412000407">https://doi.org/10.1017/S1473550412000407</a>
  chicago: Vladar, Harold de. “The Game of Active Search for Extra Terrestrial Intelligence
    Breaking the Great Silence .” <i>International Journal of Astrobiology</i>. Cambridge
    University Press, 2012. <a href="https://doi.org/10.1017/S1473550412000407">https://doi.org/10.1017/S1473550412000407</a>.
  ieee: H. de Vladar, “The game of active search for extra terrestrial intelligence
    Breaking the Great Silence ,” <i>International Journal of Astrobiology</i>, vol.
    12, no. 1. Cambridge University Press, pp. 53–62, 2012.
  ista: de Vladar H. 2012. The game of active search for extra terrestrial intelligence
    Breaking the Great Silence . International Journal of Astrobiology. 12(1), 53–62.
  mla: de Vladar, Harold. “The Game of Active Search for Extra Terrestrial Intelligence
    Breaking the Great Silence .” <i>International Journal of Astrobiology</i>, vol.
    12, no. 1, Cambridge University Press, 2012, pp. 53–62, doi:<a href="https://doi.org/10.1017/S1473550412000407">10.1017/S1473550412000407</a>.
  short: H. de Vladar, International Journal of Astrobiology 12 (2012) 53–62.
date_created: 2018-12-11T12:00:19Z
date_published: 2012-11-06T00:00:00Z
date_updated: 2021-01-12T07:00:41Z
day: '06'
department:
- _id: NiBa
doi: 10.1017/S1473550412000407
intvolume: '        12'
issue: '1'
language:
- iso: eng
month: '11'
oa_version: None
page: 53 - 62
publication: International Journal of Astrobiology
publication_status: published
publisher: Cambridge University Press
publist_id: '3821'
quality_controlled: '1'
scopus_import: 1
status: public
title: 'The game of active search for extra terrestrial intelligence Breaking the
  Great Silence '
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 12
year: '2012'
...
---
_id: '3166'
abstract:
- lang: eng
  text: 'There is evidence that the genetic code was established prior to the existence
    of proteins, when metabolism was powered by ribozymes. Also, early proto-organisms
    had to rely on simple anaerobic bioenergetic processes. In this work I propose
    that amino acid fermentation powered metabolism in the RNA world, and that this
    was facilitated by proto-adapters, the precursors of the tRNAs. Amino acids were
    used as carbon sources rather than as catalytic or structural elements. In modern
    bacteria, amino acid fermentation is known as the Stickland reaction. This pathway
    involves two amino acids: the first undergoes oxidative deamination, and the second
    acts as an electron acceptor through reductive deamination. This redox reaction
    results in two keto acids that are employed to synthesise ATP via substrate-level
    phosphorylation. The Stickland reaction is the basic bioenergetic pathway of some
    bacteria of the genus Clostridium. Two other facts support Stickland fermentation
    in the RNA world. First, several Stickland amino acid pairs are synthesised in
    abiotic amino acid synthesis. This suggests that amino acids that could be used
    as an energy substrate were freely available. Second, anticodons that have complementary
    sequences often correspond to amino acids that form Stickland pairs. The main
    hypothesis of this paper is that pairs of complementary proto-adapters were assigned
    to Stickland amino acids pairs. There are signatures of this hypothesis in the
    genetic code. Furthermore, it is argued that the proto-adapters formed double
    strands that brought amino acid pairs into proximity to facilitate their mutual
    redox reaction, structurally constraining the anticodon pairs that are assigned
    to these amino acid pairs. Significance tests which randomise the code are performed
    to study the extent of the variability of the energetic (ATP) yield. Random assignments
    can lead to a substantial yield of ATP and maintain enough variability, thus selection
    can act and refine the assignments into a proto-code that optimises the energetic
    yield. Monte Carlo simulations are performed to evaluate the establishment of
    these simple proto-codes, based on amino acid substitutions and codon swapping.
    In all cases, donor amino acids are assigned to anticodons composed of U+G, and
    have low redundancy (1-2 codons), whereas acceptor amino acids are assigned to
    the the remaining codons. These bioenergetic and structural constraints allow
    for a metabolic role for amino acids before their co-option as catalyst cofactors.
    Reviewers: this article was reviewed by Prof. William Martin, Prof. Eors Szathmary
    (nominated by Dr. Gaspar Jekely) and Dr. Adam Kun (nominated by Dr. Sandor Pongor)'
acknowledgement: 'The author was supported by the ERC-2009-AdG Grant for project 250152
  SELECTIONINFORMATION. '
article_number: '6'
author:
- first_name: Harold
  full_name: Vladar, Harold
  id: 2A181218-F248-11E8-B48F-1D18A9856A87
  last_name: Vladar
  orcid: 0000-0002-5985-7653
citation:
  ama: de Vladar H. Amino acid fermentation at the origin of the genetic code. <i>Biology
    Direct</i>. 2012;7. doi:<a href="https://doi.org/10.1186/1745-6150-7-6">10.1186/1745-6150-7-6</a>
  apa: de Vladar, H. (2012). Amino acid fermentation at the origin of the genetic
    code. <i>Biology Direct</i>. BioMed Central. <a href="https://doi.org/10.1186/1745-6150-7-6">https://doi.org/10.1186/1745-6150-7-6</a>
  chicago: Vladar, Harold de. “Amino Acid Fermentation at the Origin of the Genetic
    Code.” <i>Biology Direct</i>. BioMed Central, 2012. <a href="https://doi.org/10.1186/1745-6150-7-6">https://doi.org/10.1186/1745-6150-7-6</a>.
  ieee: H. de Vladar, “Amino acid fermentation at the origin of the genetic code,”
    <i>Biology Direct</i>, vol. 7. BioMed Central, 2012.
  ista: de Vladar H. 2012. Amino acid fermentation at the origin of the genetic code.
    Biology Direct. 7, 6.
  mla: de Vladar, Harold. “Amino Acid Fermentation at the Origin of the Genetic Code.”
    <i>Biology Direct</i>, vol. 7, 6, BioMed Central, 2012, doi:<a href="https://doi.org/10.1186/1745-6150-7-6">10.1186/1745-6150-7-6</a>.
  short: H. de Vladar, Biology Direct 7 (2012).
date_created: 2018-12-11T12:01:46Z
date_published: 2012-02-10T00:00:00Z
date_updated: 2021-01-12T07:41:31Z
day: '10'
ddc:
- '570'
- '576'
department:
- _id: NiBa
doi: 10.1186/1745-6150-7-6
ec_funded: 1
file:
- access_level: open_access
  checksum: e511e401e239ef608a7fd79b21a06d78
  content_type: application/pdf
  creator: system
  date_created: 2018-12-12T10:15:44Z
  date_updated: 2020-07-14T12:46:02Z
  file_id: '5166'
  file_name: IST-2012-99-v1+1_1745-6150-7-6.pdf
  file_size: 4099536
  relation: main_file
file_date_updated: 2020-07-14T12:46:02Z
has_accepted_license: '1'
intvolume: '         7'
language:
- iso: eng
month: '02'
oa: 1
oa_version: Published Version
project:
- _id: 25B07788-B435-11E9-9278-68D0E5697425
  call_identifier: FP7
  grant_number: '250152'
  name: Limits to selection in biology and in evolutionary computation
publication: Biology Direct
publication_status: published
publisher: BioMed Central
publist_id: '3518'
pubrep_id: '99'
quality_controlled: '1'
status: public
title: Amino acid fermentation at the origin of the genetic code
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 7
year: '2012'
...
---
_id: '3277'
abstract:
- lang: eng
  text: The problem of the origin of metazoa is becoming more urgent in the context
    of astrobiology. By now it is clear that clues to the understanding of this crucial
    transition in the evolution of life can arise in a fourth pathway besides the
    three possibilities in the quest for simplicity outlined by Bonner in his classical
    book. In other words, solar system exploration seems to be one way in the long-term
    to elucidate the simplicity of evolutionary development. We place these ideas
    in the context of different inheritance systems, namely the genotypic and phenotypic
    replicators with limited or unlimited heredity, and ask which of these can support
    multicellular development, and to which degree of complexity. However, the quest
    for evidence on the evolution of biotas from planets around other stars does not
    seem to be feasible with present technology with direct visualization of living
    organisms on exoplanets. But this may be attempted on the Galilean moons of Jupiter
    where there is a possibility of detecting reliable biomarkers in the next decade
    with the Europa Jupiter System Mission, in view of recent progress by landing
    micropenetrators on planetary, or satellite surfaces. Mars is a second possibility
    in the inner Solar System, in spite of the multiple difficulties faced by the
    fleet of past, present and future missions. We discuss a series of preliminary
    ideas for elucidating the origin of metazoan analogues with available instrumentation
    in potential payloads of feasible space missions to the Galilean moons.
alternative_title:
- Cellular Origin, Life in Extreme Habitats and Astrobiology
author:
- first_name: Harold
  full_name: de Vladar, Harold
  id: 2A181218-F248-11E8-B48F-1D18A9856A87
  last_name: de Vladar
  orcid: 0000-0002-5985-7653
- first_name: Julian
  full_name: Chela Flores, Julian
  last_name: Chela Flores
citation:
  ama: 'de Vladar H, Chela Flores J. Can the evolution of multicellularity be anticipated
    in the exploration of the solar system? In: <i>Life on Earth and Other Planetary
    Bodies</i>. Vol 24. Springer; 2012:387-405. doi:<a href="https://doi.org/10.1007/978-94-007-4966-5_22">10.1007/978-94-007-4966-5_22</a>'
  apa: de Vladar, H., &#38; Chela Flores, J. (2012). Can the evolution of multicellularity
    be anticipated in the exploration of the solar system? In <i>Life on Earth and
    other planetary bodies</i> (Vol. 24, pp. 387–405). Springer. <a href="https://doi.org/10.1007/978-94-007-4966-5_22">https://doi.org/10.1007/978-94-007-4966-5_22</a>
  chicago: Vladar, Harold de, and Julian Chela Flores. “Can the Evolution of Multicellularity
    Be Anticipated in the Exploration of the Solar System?” In <i>Life on Earth and
    Other Planetary Bodies</i>, 24:387–405. Springer, 2012. <a href="https://doi.org/10.1007/978-94-007-4966-5_22">https://doi.org/10.1007/978-94-007-4966-5_22</a>.
  ieee: H. de Vladar and J. Chela Flores, “Can the evolution of multicellularity be
    anticipated in the exploration of the solar system?,” in <i>Life on Earth and
    other planetary bodies</i>, vol. 24, Springer, 2012, pp. 387–405.
  ista: 'de Vladar H, Chela Flores J. 2012.Can the evolution of multicellularity be
    anticipated in the exploration of the solar system? In: Life on Earth and other
    planetary bodies. Cellular Origin, Life in Extreme Habitats and Astrobiology,
    vol. 24, 387–405.'
  mla: de Vladar, Harold, and Julian Chela Flores. “Can the Evolution of Multicellularity
    Be Anticipated in the Exploration of the Solar System?” <i>Life on Earth and Other
    Planetary Bodies</i>, vol. 24, Springer, 2012, pp. 387–405, doi:<a href="https://doi.org/10.1007/978-94-007-4966-5_22">10.1007/978-94-007-4966-5_22</a>.
  short: H. de Vladar, J. Chela Flores, in:, Life on Earth and Other Planetary Bodies,
    Springer, 2012, pp. 387–405.
date_created: 2018-12-11T12:02:25Z
date_published: 2012-01-01T00:00:00Z
date_updated: 2021-01-12T07:42:20Z
day: '01'
department:
- _id: NiBa
doi: 10.1007/978-94-007-4966-5_22
intvolume: '        24'
language:
- iso: eng
month: '01'
oa_version: None
page: 387 - 405
publication: Life on Earth and other planetary bodies
publication_status: published
publisher: Springer
publist_id: '3369'
quality_controlled: '1'
status: public
title: Can the evolution of multicellularity be anticipated in the exploration of
  the solar system?
type: book_chapter
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 24
year: '2012'
...
---
_id: '3375'
abstract:
- lang: eng
  text: 'By exploiting an analogy between population genetics and statistical mechanics,
    we study the evolution of a polygenic trait under stabilizing selection, mutation
    and genetic drift. This requires us to track only four macroscopic variables,
    instead of the distribution of all the allele frequencies that influence the trait.
    These macroscopic variables are the expectations of: the trait mean and its square,
    the genetic variance, and of a measure of heterozygosity, and are derived from
    a generating function that is in turn derived by maximizing an entropy measure.
    These four macroscopics are enough to accurately describe the dynamics of the
    trait mean and of its genetic variance (and in principle of any other quantity).
    Unlike previous approaches that were based on an infinite series of moments or
    cumulants, which had to be truncated arbitrarily, our calculations provide a well-defined
    approximation procedure. We apply the framework to abrupt and gradual changes
    in the optimum, as well as to changes in the strength of stabilizing selection.
    Our approximations are surprisingly accurate, even for systems with as few as
    five loci. We find that when the effects of drift are included, the expected genetic
    variance is hardly altered by directional selection, even though it fluctuates
    in any particular instance. We also find hysteresis, showing that even after averaging
    over the microscopic variables, the macroscopic trajectories retain a memory of
    the underlying genetic states.'
article_processing_charge: No
article_type: original
author:
- first_name: Harold
  full_name: de Vladar, Harold
  id: 2A181218-F248-11E8-B48F-1D18A9856A87
  last_name: de Vladar
  orcid: 0000-0002-5985-7653
- first_name: Nicholas H
  full_name: Barton, Nicholas H
  id: 4880FE40-F248-11E8-B48F-1D18A9856A87
  last_name: Barton
  orcid: 0000-0002-8548-5240
citation:
  ama: de Vladar H, Barton NH. The statistical mechanics of a polygenic character
    under stabilizing selection mutation and drift. <i>Journal of the Royal Society
    Interface</i>. 2011;8(58):720-739. doi:<a href="https://doi.org/10.1098/rsif.2010.0438">10.1098/rsif.2010.0438</a>
  apa: de Vladar, H., &#38; Barton, N. H. (2011). The statistical mechanics of a polygenic
    character under stabilizing selection mutation and drift. <i>Journal of the Royal
    Society Interface</i>. The Royal Society. <a href="https://doi.org/10.1098/rsif.2010.0438">https://doi.org/10.1098/rsif.2010.0438</a>
  chicago: Vladar, Harold de, and Nicholas H Barton. “The Statistical Mechanics of
    a Polygenic Character under Stabilizing Selection Mutation and Drift.” <i>Journal
    of the Royal Society Interface</i>. The Royal Society, 2011. <a href="https://doi.org/10.1098/rsif.2010.0438">https://doi.org/10.1098/rsif.2010.0438</a>.
  ieee: H. de Vladar and N. H. Barton, “The statistical mechanics of a polygenic character
    under stabilizing selection mutation and drift,” <i>Journal of the Royal Society
    Interface</i>, vol. 8, no. 58. The Royal Society, pp. 720–739, 2011.
  ista: de Vladar H, Barton NH. 2011. The statistical mechanics of a polygenic character
    under stabilizing selection mutation and drift. Journal of the Royal Society Interface.
    8(58), 720–739.
  mla: de Vladar, Harold, and Nicholas H. Barton. “The Statistical Mechanics of a
    Polygenic Character under Stabilizing Selection Mutation and Drift.” <i>Journal
    of the Royal Society Interface</i>, vol. 8, no. 58, The Royal Society, 2011, pp.
    720–39, doi:<a href="https://doi.org/10.1098/rsif.2010.0438">10.1098/rsif.2010.0438</a>.
  short: H. de Vladar, N.H. Barton, Journal of the Royal Society Interface 8 (2011)
    720–739.
date_created: 2018-12-11T12:02:58Z
date_published: 2011-05-01T00:00:00Z
date_updated: 2025-05-28T11:42:45Z
day: '01'
department:
- _id: NiBa
doi: 10.1098/rsif.2010.0438
ec_funded: 1
external_id:
  pmid:
  - '21084341'
intvolume: '         8'
issue: '58'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3061091/
month: '05'
oa: 1
oa_version: Submitted Version
page: 720 - 739
pmid: 1
project:
- _id: 25B07788-B435-11E9-9278-68D0E5697425
  call_identifier: FP7
  grant_number: '250152'
  name: Limits to selection in biology and in evolutionary computation
publication: Journal of the Royal Society Interface
publication_status: published
publisher: The Royal Society
publist_id: '3232'
quality_controlled: '1'
scopus_import: '1'
status: public
title: The statistical mechanics of a polygenic character under stabilizing selection
  mutation and drift
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 8
year: '2011'
...
---
_id: '3391'
abstract:
- lang: eng
  text: 'Evolutionary biology shares many concepts with statistical physics: both
    deal with populations, whether of molecules or organisms, and both seek to simplify
    evolution in very many dimensions. Often, methodologies have undergone parallel
    and independent development, as with stochastic methods in population genetics.
    Here, we discuss aspects of population genetics that have embraced methods from
    physics: non-equilibrium statistical mechanics, travelling waves and Monte-Carlo
    methods, among others, have been used to study polygenic evolution, rates of adaptation
    and range expansions. These applications indicate that evolutionary biology can
    further benefit from interactions with other areas of statistical physics; for
    example, by following the distribution of paths taken by a population through
    time'
author:
- first_name: Harold
  full_name: de Vladar, Harold
  id: 2A181218-F248-11E8-B48F-1D18A9856A87
  last_name: de Vladar
  orcid: 0000-0002-5985-7653
- first_name: Nicholas H
  full_name: Barton, Nicholas H
  id: 4880FE40-F248-11E8-B48F-1D18A9856A87
  last_name: Barton
  orcid: 0000-0002-8548-5240
citation:
  ama: de Vladar H, Barton NH. The contribution of statistical physics to evolutionary
    biology. <i>Trends in Ecology and Evolution</i>. 2011;26(8):424-432. doi:<a href="https://doi.org/10.1016/j.tree.2011.04.002">10.1016/j.tree.2011.04.002</a>
  apa: de Vladar, H., &#38; Barton, N. H. (2011). The contribution of statistical
    physics to evolutionary biology. <i>Trends in Ecology and Evolution</i>. Cell
    Press. <a href="https://doi.org/10.1016/j.tree.2011.04.002">https://doi.org/10.1016/j.tree.2011.04.002</a>
  chicago: Vladar, Harold de, and Nicholas H Barton. “The Contribution of Statistical
    Physics to Evolutionary Biology.” <i>Trends in Ecology and Evolution</i>. Cell
    Press, 2011. <a href="https://doi.org/10.1016/j.tree.2011.04.002">https://doi.org/10.1016/j.tree.2011.04.002</a>.
  ieee: H. de Vladar and N. H. Barton, “The contribution of statistical physics to
    evolutionary biology,” <i>Trends in Ecology and Evolution</i>, vol. 26, no. 8.
    Cell Press, pp. 424–432, 2011.
  ista: de Vladar H, Barton NH. 2011. The contribution of statistical physics to evolutionary
    biology. Trends in Ecology and Evolution. 26(8), 424–432.
  mla: de Vladar, Harold, and Nicholas H. Barton. “The Contribution of Statistical
    Physics to Evolutionary Biology.” <i>Trends in Ecology and Evolution</i>, vol.
    26, no. 8, Cell Press, 2011, pp. 424–32, doi:<a href="https://doi.org/10.1016/j.tree.2011.04.002">10.1016/j.tree.2011.04.002</a>.
  short: H. de Vladar, N.H. Barton, Trends in Ecology and Evolution 26 (2011) 424–432.
date_created: 2018-12-11T12:03:04Z
date_published: 2011-08-01T00:00:00Z
date_updated: 2021-01-12T07:43:10Z
day: '01'
department:
- _id: NiBa
doi: 10.1016/j.tree.2011.04.002
ec_funded: 1
intvolume: '        26'
issue: '8'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: http://arxiv.org/abs/1104.2854
month: '08'
oa: 1
oa_version: Submitted Version
page: 424 - 432
project:
- _id: 25B07788-B435-11E9-9278-68D0E5697425
  call_identifier: FP7
  grant_number: '250152'
  name: Limits to selection in biology and in evolutionary computation
publication: Trends in Ecology and Evolution
publication_status: published
publisher: Cell Press
publist_id: '3216'
quality_controlled: '1'
scopus_import: 1
status: public
title: The contribution of statistical physics to evolutionary biology
type: journal_article
user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87
volume: 26
year: '2011'
...
---
_id: '4232'
author:
- first_name: Harold
  full_name: Harold Vladar
  id: 2A181218-F248-11E8-B48F-1D18A9856A87
  last_name: Vladar
  orcid: 0000-0002-5985-7653
citation:
  ama: de Vladar H. Stochasticity and Variability in the dynamics and genetics of
    populations. 2009. doi:<a href="https://doi.org/3811">3811</a>
  apa: de Vladar, H. (2009). <i>Stochasticity and Variability in the dynamics and
    genetics of populations</i>. Faculty of mathematical and natural sciences, University
    of Groningen. <a href="https://doi.org/3811">https://doi.org/3811</a>
  chicago: Vladar, Harold de. “Stochasticity and Variability in the Dynamics and Genetics
    of Populations.” Faculty of mathematical and natural sciences, University of Groningen,
    2009. <a href="https://doi.org/3811">https://doi.org/3811</a>.
  ieee: H. de Vladar, “Stochasticity and Variability in the dynamics and genetics
    of populations,” Faculty of mathematical and natural sciences, University of Groningen,
    2009.
  ista: de Vladar H. 2009. Stochasticity and Variability in the dynamics and genetics
    of populations. Faculty of mathematical and natural sciences, University of Groningen.
  mla: de Vladar, Harold. <i>Stochasticity and Variability in the Dynamics and Genetics
    of Populations</i>. Faculty of mathematical and natural sciences, University of
    Groningen, 2009, doi:<a href="https://doi.org/3811">3811</a>.
  short: H. de Vladar, Stochasticity and Variability in the Dynamics and Genetics
    of Populations, Faculty of mathematical and natural sciences, University of Groningen,
    2009.
date_created: 2018-12-11T12:07:44Z
date_published: 2009-01-01T00:00:00Z
date_updated: 2021-01-12T07:55:29Z
day: '01'
doi: '3811'
extern: 1
month: '01'
publication_status: published
publisher: Faculty of mathematical and natural sciences, University of Groningen
publist_id: '1883'
quality_controlled: 0
status: public
title: Stochasticity and Variability in the dynamics and genetics of populations
type: dissertation
year: '2009'
...
---
_id: '4233'
author:
- first_name: Harold
  full_name: Harold Vladar
  id: 2A181218-F248-11E8-B48F-1D18A9856A87
  last_name: Vladar
  orcid: 0000-0002-5985-7653
citation:
  ama: 'de Vladar H. Alternativas prebióticas para la síntesis de amino- ácidos y
    otras moléculas relacionadas. In: Falcón N, Loyo De Sardi Y, eds. Consejo de Desarrollo
    Cientifico y Tecnologico; 2007:91-109. doi:<a href="https://doi.org/3808">3808</a>'
  apa: 'de Vladar, H. (2007). Alternativas prebióticas para la síntesis de amino-
    ácidos y otras moléculas relacionadas. In N. Falcón &#38; Y. Loyo De Sardi (Eds.)
    (pp. 91–109). Presented at the Ab Initio: Orígenes Del Universo, La Vida, Y La
    Inteligencia, Consejo de Desarrollo Cientifico y Tecnologico. <a href="https://doi.org/3808">https://doi.org/3808</a>'
  chicago: Vladar, Harold de. “Alternativas Prebióticas Para La Síntesis de Amino-
    Ácidos y Otras Moléculas Relacionadas.” edited by N. Falcón and Y. Loyo De Sardi,
    91–109. Consejo de Desarrollo Cientifico y Tecnologico, 2007. <a href="https://doi.org/3808">https://doi.org/3808</a>.
  ieee: 'H. de Vladar, “Alternativas prebióticas para la síntesis de amino- ácidos
    y otras moléculas relacionadas,” presented at the Ab Initio: Orígenes Del Universo,
    La Vida, Y La Inteligencia, 2007, pp. 91–109.'
  ista: 'de Vladar H. 2007. Alternativas prebióticas para la síntesis de amino- ácidos
    y otras moléculas relacionadas. Ab Initio: Orígenes Del Universo, La Vida, Y La
    Inteligencia, 91–109.'
  mla: de Vladar, Harold. <i>Alternativas Prebióticas Para La Síntesis de Amino- Ácidos
    y Otras Moléculas Relacionadas</i>. Edited by N. Falcón and Y. Loyo De Sardi,
    Consejo de Desarrollo Cientifico y Tecnologico, 2007, pp. 91–109, doi:<a href="https://doi.org/3808">3808</a>.
  short: H. de Vladar, in:, N. Falcón, Y. Loyo De Sardi (Eds.), Consejo de Desarrollo
    Cientifico y Tecnologico, 2007, pp. 91–109.
conference:
  name: 'Ab Initio: Orígenes Del Universo, La Vida, Y La Inteligencia'
date_created: 2018-12-11T12:07:45Z
date_published: 2007-01-01T00:00:00Z
date_updated: 2021-01-12T07:55:29Z
day: '01'
doi: '3808'
editor:
- first_name: N.
  full_name: Falcón,N.
  last_name: Falcón
- first_name: Y.
  full_name: Loyo de Sardi,Y.
  last_name: Loyo De Sardi
extern: 1
month: '01'
page: 91 - 109
publication_status: published
publisher: Consejo de Desarrollo Cientifico y Tecnologico
publist_id: '1880'
quality_controlled: 0
status: public
title: Alternativas prebióticas para la síntesis de amino- ácidos y otras moléculas
  relacionadas
type: conference
year: '2007'
...
---
_id: '4234'
abstract:
- lang: eng
  text: We study a generalised model of population growth in which the state variable
    is population growth rate instead of population size. Stochastic parametric perturbations,
    modelling phenotypic variability, lead to a Langevin system with two sources of
    multiplicative noise. The stationary probability distributions have two characteristic
    power-law scales. Numerical simulations show that noise suppresses the explosion
    of the growth rate which occurs in the deterministic counterpart. Instead, in
    different parameter regimes populations will grow with &quot;anomalous&quot; stochastic
    rates and (i) stabilise at &quot;random carrying capacities&quot;, or (ii) go
    extinct in random times. Using logistic fits to reconstruct the simulated data,
    we find that even highly significant estimations do not recover or reflect information
    about the deterministic part of the process. Therefore, the logistic interpretation
    is not biologically meaningful. These results have implications for distinct model-aided
    calculations in biological situations because these kinds of estimations could
    lead to spurious conclusions. (c) 2006 Elsevier B.V. All rights reserved.
article_processing_charge: No
arxiv: 1
author:
- first_name: Harold
  full_name: de Vladar, Harold
  id: 2A181218-F248-11E8-B48F-1D18A9856A87
  last_name: de Vladar
  orcid: 0000-0002-5985-7653
- first_name: I.
  full_name: Pen, I.
  last_name: Pen
citation:
  ama: de Vladar H, Pen I. Determinism, noise, and spurious estimations in a generalised
    model of population growth. <i>Physica A</i>. 2007;373:477-485. doi:<a href="https://doi.org/10.1016/j.physa.2006.06.025">10.1016/j.physa.2006.06.025</a>
  apa: de Vladar, H., &#38; Pen, I. (2007). Determinism, noise, and spurious estimations
    in a generalised model of population growth. <i>Physica A</i>. Elsevier. <a href="https://doi.org/10.1016/j.physa.2006.06.025">https://doi.org/10.1016/j.physa.2006.06.025</a>
  chicago: Vladar, Harold de, and I. Pen. “Determinism, Noise, and Spurious Estimations
    in a Generalised Model of Population Growth.” <i>Physica A</i>. Elsevier, 2007.
    <a href="https://doi.org/10.1016/j.physa.2006.06.025">https://doi.org/10.1016/j.physa.2006.06.025</a>.
  ieee: H. de Vladar and I. Pen, “Determinism, noise, and spurious estimations in
    a generalised model of population growth,” <i>Physica A</i>, vol. 373. Elsevier,
    pp. 477–485, 2007.
  ista: de Vladar H, Pen I. 2007. Determinism, noise, and spurious estimations in
    a generalised model of population growth. Physica A. 373, 477–485.
  mla: de Vladar, Harold, and I. Pen. “Determinism, Noise, and Spurious Estimations
    in a Generalised Model of Population Growth.” <i>Physica A</i>, vol. 373, Elsevier,
    2007, pp. 477–85, doi:<a href="https://doi.org/10.1016/j.physa.2006.06.025">10.1016/j.physa.2006.06.025</a>.
  short: H. de Vladar, I. Pen, Physica A 373 (2007) 477–485.
date_created: 2018-12-11T12:07:45Z
date_published: 2007-01-01T00:00:00Z
date_updated: 2021-01-12T07:55:30Z
day: '01'
doi: 10.1016/j.physa.2006.06.025
extern: '1'
external_id:
  arxiv:
  - abs/q-bio/0602018
intvolume: '       373'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: http://arxiv.org/abs/q-bio/0602018
month: '01'
oa: 1
oa_version: Preprint
page: 477 - 485
publication: Physica A
publication_status: published
publisher: Elsevier
publist_id: '1881'
status: public
title: Determinism, noise, and spurious estimations in a generalised model of population
  growth
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 373
year: '2007'
...
---
_id: '4235'
author:
- first_name: Harold
  full_name: Harold Vladar
  id: 2A181218-F248-11E8-B48F-1D18A9856A87
  last_name: Vladar
  orcid: 0000-0002-5985-7653
- first_name: J.
  full_name: González,J. A
  last_name: González
citation:
  ama: de Vladar H, González J. Dynamic response of cancer under the influence of
    immunological activity and therapy. <i>Journal of Theoretical Biology</i>. 2006:91-109.
  apa: de Vladar, H., &#38; González, J. (2006). Dynamic response of cancer under
    the influence of immunological activity and therapy. <i>Journal of Theoretical
    Biology</i>. Elsevier.
  chicago: Vladar, Harold de, and J. González. “Dynamic Response of Cancer under the
    Influence of Immunological Activity and Therapy.” <i>Journal of Theoretical Biology</i>.
    Elsevier, 2006.
  ieee: H. de Vladar and J. González, “Dynamic response of cancer under the influence
    of immunological activity and therapy,” <i>Journal of Theoretical Biology</i>.
    Elsevier, pp. 91–109, 2006.
  ista: de Vladar H, González J. 2006. Dynamic response of cancer under the influence
    of immunological activity and therapy. Journal of Theoretical Biology., 91–109.
  mla: de Vladar, Harold, and J. González. “Dynamic Response of Cancer under the Influence
    of Immunological Activity and Therapy.” <i>Journal of Theoretical Biology</i>,
    Elsevier, 2006, pp. 91–109.
  short: H. de Vladar, J. González, Journal of Theoretical Biology (2006) 91–109.
date_created: 2018-12-11T12:07:45Z
date_published: 2006-01-01T00:00:00Z
date_updated: 2021-01-12T07:55:30Z
day: '01'
extern: 1
month: '01'
page: 91 - 109
publication: Journal of Theoretical Biology
publication_status: published
publisher: Elsevier
publist_id: '1879'
quality_controlled: 0
status: public
title: Dynamic response of cancer under the influence of immunological activity and
  therapy
type: journal_article
year: '2006'
...
---
_id: '4237'
abstract:
- lang: eng
  text: The growth function of populations is central in biomathematics. The main
    dogma is the existence of density-dependence mechanisms, which can be modelled
    with distinct functional forms that depend on the size of the Population. One
    important class of regulatory functions is the theta-logistic, which generalizes
    the logistic equation. Using this model as a motivation, this paper introduces
    a simple dynamical reformulation that generalizes many growth functions. The reformulation
    consists of two equations, one for population size, and one for the growth rate.
    Furthermore, the model shows that although population is density-dependent, the
    dynamics of the growth rate does not depend either on population size, nor on
    the carrying capacity. Actually, the growth equation is uncoupled from the population
    size equation, and the model has only two parameters, a Malthusian parameter rho
    and a competition coefficient theta. Distinct sign combinations of these parameters
    reproduce not only the family of theta-logistics, but also the van Bertalanffy,
    Gompertz and Potential Growth equations, among other possibilities. It is also
    shown that, except for two critical points, there is a general size-scaling relation
    that includes those appearing in the most important allometric theories, including
    the recently proposed Metabolic Theory of Ecology. With this model, several issues
    of general interest are discussed such as the growth of animal population, extinctions,
    cell growth and allometry, and the effect of environment over a population. (c)
    2005 Elsevier Ltd. All rights reserved.
article_processing_charge: No
author:
- first_name: Harold
  full_name: de Vladar, Harold
  id: 2A181218-F248-11E8-B48F-1D18A9856A87
  last_name: de Vladar
  orcid: 0000-0002-5985-7653
citation:
  ama: de Vladar H. Density-dependence as a size-independent regulatory mechanism.
    <i>Journal of Theoretical Biology</i>. 2006;238(2):245-256. doi:<a href="https://doi.org/3802">3802</a>
  apa: de Vladar, H. (2006). Density-dependence as a size-independent regulatory mechanism.
    <i>Journal of Theoretical Biology</i>. Elsevier. <a href="https://doi.org/3802">https://doi.org/3802</a>
  chicago: Vladar, Harold de. “Density-Dependence as a Size-Independent Regulatory
    Mechanism.” <i>Journal of Theoretical Biology</i>. Elsevier, 2006. <a href="https://doi.org/3802">https://doi.org/3802</a>.
  ieee: H. de Vladar, “Density-dependence as a size-independent regulatory mechanism,”
    <i>Journal of Theoretical Biology</i>, vol. 238, no. 2. Elsevier, pp. 245–256,
    2006.
  ista: de Vladar H. 2006. Density-dependence as a size-independent regulatory mechanism.
    Journal of Theoretical Biology. 238(2), 245–256.
  mla: de Vladar, Harold. “Density-Dependence as a Size-Independent Regulatory Mechanism.”
    <i>Journal of Theoretical Biology</i>, vol. 238, no. 2, Elsevier, 2006, pp. 245–56,
    doi:<a href="https://doi.org/3802">3802</a>.
  short: H. de Vladar, Journal of Theoretical Biology 238 (2006) 245–256.
date_created: 2018-12-11T12:07:46Z
date_published: 2006-01-01T00:00:00Z
date_updated: 2021-01-12T07:55:31Z
day: '01'
doi: '3802'
extern: '1'
intvolume: '       238'
issue: '2'
language:
- iso: eng
month: '01'
oa_version: None
page: 245 - 256
publication: Journal of Theoretical Biology
publication_status: published
publisher: Elsevier
publist_id: '1878'
status: public
title: Density-dependence as a size-independent regulatory mechanism
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 238
year: '2006'
...
---
_id: '4230'
alternative_title:
- Cellular Origin and Life in Extreme Habitats and Astrobiology
author:
- first_name: Harold
  full_name: Harold Vladar
  id: 2A181218-F248-11E8-B48F-1D18A9856A87
  last_name: Vladar
  orcid: 0000-0002-5985-7653
- first_name: Roberto
  full_name: Cipriani, Roberto
  last_name: Cipriani
- first_name: Benjamin
  full_name: Scharifker, Benjamin
  last_name: Scharifker
- first_name: Jose
  full_name: Bubis, Jose
  last_name: Bubis
citation:
  ama: 'de Vladar H, Cipriani R, Scharifker B, Bubis J. A mechanism for the prebiotic
    emergence of proteins. In: Hanslmeier A, Kempe S, Seckbach J, eds. <i>Life in
    the Universe From the Miller Experiment to the Search for Life on Other Worlds</i>.
    Springer; 2004:83-87.'
  apa: de Vladar, H., Cipriani, R., Scharifker, B., &#38; Bubis, J. (2004). A mechanism
    for the prebiotic emergence of proteins. In A. Hanslmeier, S. Kempe, &#38; J.
    Seckbach (Eds.), <i>Life in the Universe From the Miller Experiment to the Search
    for Life on Other Worlds</i> (pp. 83–87). Springer.
  chicago: Vladar, Harold de, Roberto Cipriani, Benjamin Scharifker, and Jose Bubis.
    “A Mechanism for the Prebiotic Emergence of Proteins.” In <i>Life in the Universe
    From the Miller Experiment to the Search for Life on Other Worlds</i>, edited
    by A. Hanslmeier, S. Kempe, and J. Seckbach, 83–87. Springer, 2004.
  ieee: H. de Vladar, R. Cipriani, B. Scharifker, and J. Bubis, “A mechanism for the
    prebiotic emergence of proteins,” in <i>Life in the Universe From the Miller Experiment
    to the Search for Life on Other Worlds</i>, A. Hanslmeier, S. Kempe, and J. Seckbach,
    Eds. Springer, 2004, pp. 83–87.
  ista: 'de Vladar H, Cipriani R, Scharifker B, Bubis J. 2004.A mechanism for the
    prebiotic emergence of proteins. In: Life in the Universe From the Miller Experiment
    to the Search for Life on Other Worlds. Cellular Origin and Life in Extreme Habitats
    and Astrobiology, , 83–87.'
  mla: de Vladar, Harold, et al. “A Mechanism for the Prebiotic Emergence of Proteins.”
    <i>Life in the Universe From the Miller Experiment to the Search for Life on Other
    Worlds</i>, edited by A. Hanslmeier et al., Springer, 2004, pp. 83–87.
  short: H. de Vladar, R. Cipriani, B. Scharifker, J. Bubis, in:, A. Hanslmeier, S.
    Kempe, J. Seckbach (Eds.), Life in the Universe From the Miller Experiment to
    the Search for Life on Other Worlds, Springer, 2004, pp. 83–87.
date_created: 2018-12-11T12:07:44Z
date_published: 2004-12-31T00:00:00Z
date_updated: 2021-01-12T07:55:28Z
day: '31'
editor:
- first_name: A.
  full_name: Hanslmeier,A.
  last_name: Hanslmeier
- first_name: S.
  full_name: Kempe,S.
  last_name: Kempe
- first_name: J.
  full_name: Seckbach,J.
  last_name: Seckbach
extern: 1
month: '12'
page: 83 - 87
publication: Life in the Universe From the Miller Experiment to the Search for Life
  on Other Worlds
publication_status: published
publisher: Springer
publist_id: '1884'
quality_controlled: 0
status: public
title: A mechanism for the prebiotic emergence of proteins
type: book_chapter
year: '2004'
...
---
_id: '4236'
article_processing_charge: No
author:
- first_name: Harold
  full_name: de Vladar, Harold
  id: 2A181218-F248-11E8-B48F-1D18A9856A87
  last_name: de Vladar
  orcid: 0000-0002-5985-7653
citation:
  ama: de Vladar H. Métodos no lineales y sus aplicaciones en dinámicas aleatorias
    de poblaciones celulares. 2004. doi:<a href="https://doi.org/3810">3810</a>
  apa: de Vladar, H. (2004). <i>Métodos no lineales y sus aplicaciones en dinámicas
    aleatorias de poblaciones celulares</i>. Centro de estudios avazados, IVIC. <a
    href="https://doi.org/3810">https://doi.org/3810</a>
  chicago: Vladar, Harold de. “Métodos No Lineales y Sus Aplicaciones En Dinámicas
    Aleatorias de Poblaciones Celulares.” Centro de estudios avazados, IVIC, 2004.
    <a href="https://doi.org/3810">https://doi.org/3810</a>.
  ieee: H. de Vladar, “Métodos no lineales y sus aplicaciones en dinámicas aleatorias
    de poblaciones celulares,” Centro de estudios avazados, IVIC, 2004.
  ista: de Vladar H. 2004. Métodos no lineales y sus aplicaciones en dinámicas aleatorias
    de poblaciones celulares. Centro de estudios avazados, IVIC.
  mla: de Vladar, Harold. <i>Métodos No Lineales y Sus Aplicaciones En Dinámicas Aleatorias
    de Poblaciones Celulares</i>. Centro de estudios avazados, IVIC, 2004, doi:<a
    href="https://doi.org/3810">3810</a>.
  short: H. de Vladar, Métodos No Lineales y Sus Aplicaciones En Dinámicas Aleatorias
    de Poblaciones Celulares, Centro de estudios avazados, IVIC, 2004.
date_created: 2018-12-11T12:07:46Z
date_published: 2004-01-01T00:00:00Z
date_updated: 2021-01-12T07:55:30Z
day: '01'
doi: '3810'
extern: '1'
language:
- iso: eng
month: '01'
oa_version: None
publication_status: published
publisher: Centro de estudios avazados, IVIC
publist_id: '1877'
status: public
title: Métodos no lineales y sus aplicaciones en dinámicas aleatorias de poblaciones
  celulares
type: dissertation
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2004'
...
---
_id: '4238'
abstract:
- lang: eng
  text: The dynamical basis of tumoral growth has been controversial. Many models
    have been proposed to explain cancer development. The descriptions employ exponential,
    potential, logistic or Gompertzian growth laws. Some of these models are concerned
    with the interaction between cancer and the immunological, system. Among other
    properties, these models are concerned with the microscopic behavior of tumors
    and the emergence of cancer. We propose a modification of a previous model by
    Stepanova, which describes the specific immunological response against cancer.
    The modification consists of the substitution of a Gompertian law for the exponential
    rate used for tumoral growth. This modification is motivated by the numerous works
    confirming that Gompertz's equation correctly describes solid tumor growth. The
    modified model predicts that near zero, tumors always tend to grow. Immunological
    contraposition never suffices to induce a complete regression of the tumor. Instead,
    a stable microscopic equilibrium between cancer and immunological activity can
    be attained. In other words, our model predicts that the theory of immune surveillance
    is plausible. A macroscopic equilibrium in which the system develops cancer is
    also possible. In this case, immunological activity is depleted. This is consistent
    with the phenomena of cancer tolerance. Both equilibrium points can coexist or
    can exist without the other. In all cases the fixed point at zero tumor size is
    unstable. Since immunity cannot induce a complete tumor regression, a therapy
    is required. We include constant-dose therapies and show that they are insufficient.
    Final levels of immunocompetent cells and tumoral cells are finite, thus post-treatment
    regrowth of the tumor is certain. We also evaluate late-intensification therapies
    which are successful. They induce an asymptotic regression to zero tumor size.
    Immune response is also suppressed by the therapy, and thus plays a negligible
    role in the remission. We conclude that treatment evaluation should be successful
    without taking into account immunological effects. (C) 2003 Elsevier Ltd. All
    rights reserved.
article_processing_charge: No
author:
- first_name: Harold
  full_name: de Vladar, Harold
  id: 2A181218-F248-11E8-B48F-1D18A9856A87
  last_name: de Vladar
  orcid: 0000-0002-5985-7653
- first_name: J.
  full_name: González, J.
  last_name: González
citation:
  ama: de Vladar H, González J. Dynamic response of cancer under the influence of
    immunological activity and therapy. <i>Journal of Theoretical Biology</i>. 2004;227(3):335-348.
    doi:<a href="https://doi.org/3801">3801</a>
  apa: de Vladar, H., &#38; González, J. (2004). Dynamic response of cancer under
    the influence of immunological activity and therapy. <i>Journal of Theoretical
    Biology</i>. Elsevier. <a href="https://doi.org/3801">https://doi.org/3801</a>
  chicago: Vladar, Harold de, and J. González. “Dynamic Response of Cancer under the
    Influence of Immunological Activity and Therapy.” <i>Journal of Theoretical Biology</i>.
    Elsevier, 2004. <a href="https://doi.org/3801">https://doi.org/3801</a>.
  ieee: H. de Vladar and J. González, “Dynamic response of cancer under the influence
    of immunological activity and therapy,” <i>Journal of Theoretical Biology</i>,
    vol. 227, no. 3. Elsevier, pp. 335–348, 2004.
  ista: de Vladar H, González J. 2004. Dynamic response of cancer under the influence
    of immunological activity and therapy. Journal of Theoretical Biology. 227(3),
    335–348.
  mla: de Vladar, Harold, and J. González. “Dynamic Response of Cancer under the Influence
    of Immunological Activity and Therapy.” <i>Journal of Theoretical Biology</i>,
    vol. 227, no. 3, Elsevier, 2004, pp. 335–48, doi:<a href="https://doi.org/3801">3801</a>.
  short: H. de Vladar, J. González, Journal of Theoretical Biology 227 (2004) 335–348.
date_created: 2018-12-11T12:07:46Z
date_published: 2004-01-01T00:00:00Z
date_updated: 2021-01-12T07:55:31Z
day: '01'
doi: '3801'
extern: '1'
intvolume: '       227'
issue: '3'
language:
- iso: eng
month: '01'
oa_version: None
page: 335 - 348
publication: Journal of Theoretical Biology
publication_status: published
publisher: Elsevier
publist_id: '1876'
status: public
title: Dynamic response of cancer under the influence of immunological activity and
  therapy
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 227
year: '2004'
...
---
_id: '4239'
alternative_title:
- Cellular Origin, Life in Extreme Habitats and Astrobiology
author:
- first_name: Harold
  full_name: Harold Vladar
  id: 2A181218-F248-11E8-B48F-1D18A9856A87
  last_name: Vladar
  orcid: 0000-0002-5985-7653
- first_name: Roberto
  full_name: 'Cipriani, Roberto '
  last_name: Cipriani
- first_name: Benjamin
  full_name: Scharifker, Benjamin
  last_name: Scharifker
- first_name: Jose
  full_name: Bubis, Jose
  last_name: Bubis
citation:
  ama: 'de Vladar H, Cipriani R, Scharifker B, Bubis J. A Mechanism for the Prebiotic
    Emergence of Proteins. In: Seckbach J, Chela Flores J, Owen T, Raulin F, eds.
    <i>Life in the Universe From the Miller Experiment to the Search for Life on Other
    Worlds</i>. Vol 7. Springer; 2004:83-87. doi:<a href="https://doi.org/3807">3807</a>'
  apa: de Vladar, H., Cipriani, R., Scharifker, B., &#38; Bubis, J. (2004). A Mechanism
    for the Prebiotic Emergence of Proteins. In J. Seckbach, J. Chela Flores, T. Owen,
    &#38; F. Raulin (Eds.), <i>Life in the Universe From the Miller Experiment to
    the Search for Life on Other Worlds</i> (Vol. 7, pp. 83–87). Springer. <a href="https://doi.org/3807">https://doi.org/3807</a>
  chicago: Vladar, Harold de, Roberto Cipriani, Benjamin Scharifker, and Jose Bubis.
    “A Mechanism for the Prebiotic Emergence of Proteins.” In <i>Life in the Universe
    From the Miller Experiment to the Search for Life on Other Worlds</i>, edited
    by J. Seckbach, J. Chela Flores, T. Owen, and F. Raulin, 7:83–87. Springer, 2004.
    <a href="https://doi.org/3807">https://doi.org/3807</a>.
  ieee: H. de Vladar, R. Cipriani, B. Scharifker, and J. Bubis, “A Mechanism for the
    Prebiotic Emergence of Proteins,” in <i>Life in the Universe From the Miller Experiment
    to the Search for Life on Other Worlds</i>, vol. 7, J. Seckbach, J. Chela Flores,
    T. Owen, and F. Raulin, Eds. Springer, 2004, pp. 83–87.
  ista: 'de Vladar H, Cipriani R, Scharifker B, Bubis J. 2004.A Mechanism for the
    Prebiotic Emergence of Proteins. In: Life in the Universe From the Miller Experiment
    to the Search for Life on Other Worlds. Cellular Origin, Life in Extreme Habitats
    and Astrobiology, vol. 7, 83–87.'
  mla: de Vladar, Harold, et al. “A Mechanism for the Prebiotic Emergence of Proteins.”
    <i>Life in the Universe From the Miller Experiment to the Search for Life on Other
    Worlds</i>, edited by J. Seckbach et al., vol. 7, Springer, 2004, pp. 83–87, doi:<a
    href="https://doi.org/3807">3807</a>.
  short: H. de Vladar, R. Cipriani, B. Scharifker, J. Bubis, in:, J. Seckbach, J.
    Chela Flores, T. Owen, F. Raulin (Eds.), Life in the Universe From the Miller
    Experiment to the Search for Life on Other Worlds, Springer, 2004, pp. 83–87.
date_created: 2018-12-11T12:07:47Z
date_published: 2004-01-01T00:00:00Z
date_updated: 2021-01-12T07:55:32Z
day: '01'
doi: '3807'
editor:
- first_name: J.
  full_name: Seckbach,J.
  last_name: Seckbach
- first_name: J.
  full_name: Chela-Flores,J.
  last_name: Chela Flores
- first_name: T.
  full_name: Owen,T.
  last_name: Owen
- first_name: F.
  full_name: Raulin,F.
  last_name: Raulin
extern: 1
intvolume: '         7'
month: '01'
page: 83 - 87
publication: Life in the Universe From the Miller Experiment to the Search for Life
  on Other Worlds
publication_status: published
publisher: Springer
publist_id: '1875'
quality_controlled: 0
status: public
title: A Mechanism for the Prebiotic Emergence of Proteins
type: book_chapter
volume: 7
year: '2004'
...
