--- _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. Journal of the Royal Society Interface. 2017;14(126). doi:10.1098/rsif.2016.0139 apa: Fernandes Redondo, R. A., de Vladar, H., Włodarski, T., & Bollback, J. P. (2017). Evolutionary interplay between structure, energy and epistasis in the coat protein of the ϕX174 phage family. Journal of the Royal Society Interface. Royal Society of London. https://doi.org/10.1098/rsif.2016.0139 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.” Journal of the Royal Society Interface. Royal Society of London, 2017. https://doi.org/10.1098/rsif.2016.0139. 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,” Journal of the Royal Society Interface, 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.” Journal of the Royal Society Interface, vol. 14, no. 126, 20160139, Royal Society of London, 2017, doi:10.1098/rsif.2016.0139. 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: 2023-09-20T11:56:34Z 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 license: https://creativecommons.org/licenses/by/4.0/ 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:10.6084/m9.figshare.4315652.v1 apa: Fernandes Redondo, R. A., de Vladar, H., Włodarski, T., & 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. https://doi.org/10.6084/m9.figshare.4315652.v1 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. https://doi.org/10.6084/m9.figshare.4315652.v1. 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, 10.6084/m9.figshare.4315652.v1. mla: Fernandes Redondo, Rodrigo A., et al. Data from Evolutionary Interplay between Structure, Energy and Epistasis in the Coat Protein of the ΦX174 Phage Family. The Royal Society, 2016, doi:10.6084/m9.figshare.4315652.v1. 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: 2023-09-20T11:56:33Z 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 . International Journal of Astrobiology. 2012;12(1):53-62. doi:10.1017/S1473550412000407 apa: de Vladar, H. (2012). The game of active search for extra terrestrial intelligence Breaking the Great Silence . International Journal of Astrobiology. Cambridge University Press. https://doi.org/10.1017/S1473550412000407 chicago: Vladar, Harold de. “The Game of Active Search for Extra Terrestrial Intelligence Breaking the Great Silence .” International Journal of Astrobiology. Cambridge University Press, 2012. https://doi.org/10.1017/S1473550412000407. ieee: H. de Vladar, “The game of active search for extra terrestrial intelligence Breaking the Great Silence ,” International Journal of Astrobiology, 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 .” International Journal of Astrobiology, vol. 12, no. 1, Cambridge University Press, 2012, pp. 53–62, doi:10.1017/S1473550412000407. 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. Biology Direct. 2012;7. doi:10.1186/1745-6150-7-6 apa: de Vladar, H. (2012). Amino acid fermentation at the origin of the genetic code. Biology Direct. BioMed Central. https://doi.org/10.1186/1745-6150-7-6 chicago: Vladar, Harold de. “Amino Acid Fermentation at the Origin of the Genetic Code.” Biology Direct. BioMed Central, 2012. https://doi.org/10.1186/1745-6150-7-6. ieee: H. de Vladar, “Amino acid fermentation at the origin of the genetic code,” Biology Direct, 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.” Biology Direct, vol. 7, 6, BioMed Central, 2012, doi:10.1186/1745-6150-7-6. 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: Life on Earth and Other Planetary Bodies. Vol 24. Springer; 2012:387-405. doi:10.1007/978-94-007-4966-5_22' apa: 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 (Vol. 24, pp. 387–405). Springer. https://doi.org/10.1007/978-94-007-4966-5_22 chicago: Vladar, Harold de, and Julian Chela Flores. “Can the Evolution of Multicellularity Be Anticipated in the Exploration of the Solar System?” In Life on Earth and Other Planetary Bodies, 24:387–405. Springer, 2012. https://doi.org/10.1007/978-94-007-4966-5_22. ieee: H. de Vladar and J. Chela Flores, “Can the evolution of multicellularity be anticipated in the exploration of the solar system?,” in Life on Earth and other planetary bodies, 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?” Life on Earth and Other Planetary Bodies, vol. 24, Springer, 2012, pp. 387–405, doi:10.1007/978-94-007-4966-5_22. 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: '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. Trends in Ecology and Evolution. 2011;26(8):424-432. doi:10.1016/j.tree.2011.04.002 apa: de Vladar, H., & Barton, N. H. (2011). The contribution of statistical physics to evolutionary biology. Trends in Ecology and Evolution. Cell Press. https://doi.org/10.1016/j.tree.2011.04.002 chicago: Vladar, Harold de, and Nicholas H Barton. “The Contribution of Statistical Physics to Evolutionary Biology.” Trends in Ecology and Evolution. Cell Press, 2011. https://doi.org/10.1016/j.tree.2011.04.002. ieee: H. de Vladar and N. H. Barton, “The contribution of statistical physics to evolutionary biology,” Trends in Ecology and Evolution, 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.” Trends in Ecology and Evolution, vol. 26, no. 8, Cell Press, 2011, pp. 424–32, doi:10.1016/j.tree.2011.04.002. 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: '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. Journal of the Royal Society Interface. 2011;8(58):720-739. doi:10.1098/rsif.2010.0438 apa: de Vladar, H., & Barton, N. H. (2011). The statistical mechanics of a polygenic character under stabilizing selection mutation and drift. Journal of the Royal Society Interface. The Royal Society. https://doi.org/10.1098/rsif.2010.0438 chicago: Vladar, Harold de, and Nicholas H Barton. “The Statistical Mechanics of a Polygenic Character under Stabilizing Selection Mutation and Drift.” Journal of the Royal Society Interface. The Royal Society, 2011. https://doi.org/10.1098/rsif.2010.0438. ieee: H. de Vladar and N. H. Barton, “The statistical mechanics of a polygenic character under stabilizing selection mutation and drift,” Journal of the Royal Society Interface, 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.” Journal of the Royal Society Interface, vol. 8, no. 58, The Royal Society, 2011, pp. 720–39, doi:10.1098/rsif.2010.0438. 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: 2023-10-18T06:39:05Z 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: '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:3811 apa: de Vladar, H. (2009). Stochasticity and Variability in the dynamics and genetics of populations. Faculty of mathematical and natural sciences, University of Groningen. https://doi.org/3811 chicago: Vladar, Harold de. “Stochasticity and Variability in the Dynamics and Genetics of Populations.” Faculty of mathematical and natural sciences, University of Groningen, 2009. https://doi.org/3811. 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. Stochasticity and Variability in the Dynamics and Genetics of Populations. Faculty of mathematical and natural sciences, University of Groningen, 2009, doi:3811. 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: '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 "anomalous" stochastic rates and (i) stabilise at "random carrying capacities", 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 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. Physica A. 2007;373:477-485. doi:10.1016/j.physa.2006.06.025 apa: de Vladar, H., & Pen, I. (2007). Determinism, noise, and spurious estimations in a generalised model of population growth. Physica A. Elsevier. https://doi.org/10.1016/j.physa.2006.06.025 chicago: Vladar, Harold de, and I. Pen. “Determinism, Noise, and Spurious Estimations in a Generalised Model of Population Growth.” Physica A. Elsevier, 2007. https://doi.org/10.1016/j.physa.2006.06.025. ieee: H. de Vladar and I. Pen, “Determinism, noise, and spurious estimations in a generalised model of population growth,” Physica A, 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.” Physica A, vol. 373, Elsevier, 2007, pp. 477–85, doi:10.1016/j.physa.2006.06.025. 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: '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:3808' apa: 'de Vladar, H. (2007). Alternativas prebióticas para la síntesis de amino- ácidos y otras moléculas relacionadas. In N. Falcón & 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. https://doi.org/3808' 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. https://doi.org/3808. 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. Alternativas Prebióticas Para La Síntesis de Amino- Ácidos y Otras Moléculas Relacionadas. Edited by N. Falcón and Y. Loyo De Sardi, Consejo de Desarrollo Cientifico y Tecnologico, 2007, pp. 91–109, doi:3808. 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: '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. Journal of Theoretical Biology. 2006;238(2):245-256. doi:3802 apa: de Vladar, H. (2006). Density-dependence as a size-independent regulatory mechanism. Journal of Theoretical Biology. Elsevier. https://doi.org/3802 chicago: Vladar, Harold de. “Density-Dependence as a Size-Independent Regulatory Mechanism.” Journal of Theoretical Biology. Elsevier, 2006. https://doi.org/3802. ieee: H. de Vladar, “Density-dependence as a size-independent regulatory mechanism,” Journal of Theoretical Biology, 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.” Journal of Theoretical Biology, vol. 238, no. 2, Elsevier, 2006, pp. 245–56, doi:3802. 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: '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. Journal of Theoretical Biology. 2006:91-109. apa: de Vladar, H., & González, J. (2006). Dynamic response of cancer under the influence of immunological activity and therapy. Journal of Theoretical Biology. Elsevier. chicago: Vladar, Harold de, and J. González. “Dynamic Response of Cancer under the Influence of Immunological Activity and Therapy.” Journal of Theoretical Biology. Elsevier, 2006. ieee: H. de Vladar and J. González, “Dynamic response of cancer under the influence of immunological activity and therapy,” Journal of Theoretical Biology. 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.” Journal of Theoretical Biology, 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: '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. Life in the Universe From the Miller Experiment to the Search for Life on Other Worlds. Vol 7. Springer; 2004:83-87. doi:3807' apa: de Vladar, H., Cipriani, R., Scharifker, B., & Bubis, J. (2004). A Mechanism for the Prebiotic Emergence of Proteins. 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 (Vol. 7, pp. 83–87). Springer. https://doi.org/3807 chicago: Vladar, Harold de, Roberto Cipriani, Benjamin Scharifker, and Jose Bubis. “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, edited by J. Seckbach, J. Chela Flores, T. Owen, and F. Raulin, 7:83–87. Springer, 2004. https://doi.org/3807. ieee: H. de Vladar, R. Cipriani, B. Scharifker, and J. Bubis, “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, 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.” Life in the Universe From the Miller Experiment to the Search for Life on Other Worlds, edited by J. Seckbach et al., vol. 7, Springer, 2004, pp. 83–87, doi:3807. 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' ... --- _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. Journal of Theoretical Biology. 2004;227(3):335-348. doi:3801 apa: de Vladar, H., & González, J. (2004). Dynamic response of cancer under the influence of immunological activity and therapy. Journal of Theoretical Biology. Elsevier. https://doi.org/3801 chicago: Vladar, Harold de, and J. González. “Dynamic Response of Cancer under the Influence of Immunological Activity and Therapy.” Journal of Theoretical Biology. Elsevier, 2004. https://doi.org/3801. ieee: H. de Vladar and J. González, “Dynamic response of cancer under the influence of immunological activity and therapy,” Journal of Theoretical Biology, 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.” Journal of Theoretical Biology, vol. 227, no. 3, Elsevier, 2004, pp. 335–48, doi:3801. 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: '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. Life in the Universe From the Miller Experiment to the Search for Life on Other Worlds. Springer; 2004:83-87.' apa: de Vladar, H., Cipriani, R., Scharifker, B., & Bubis, J. (2004). A mechanism for the prebiotic emergence of proteins. In A. Hanslmeier, S. Kempe, & J. Seckbach (Eds.), Life in the Universe From the Miller Experiment to the Search for Life on Other Worlds (pp. 83–87). Springer. chicago: Vladar, Harold de, Roberto Cipriani, Benjamin Scharifker, and Jose Bubis. “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, 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 Life in the Universe From the Miller Experiment to the Search for Life on Other Worlds, 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.” Life in the Universe From the Miller Experiment to the Search for Life on Other Worlds, 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:3810 apa: de Vladar, H. (2004). Métodos no lineales y sus aplicaciones en dinámicas aleatorias de poblaciones celulares. Centro de estudios avazados, IVIC. https://doi.org/3810 chicago: Vladar, Harold de. “Métodos No Lineales y Sus Aplicaciones En Dinámicas Aleatorias de Poblaciones Celulares.” Centro de estudios avazados, IVIC, 2004. https://doi.org/3810. 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. Métodos No Lineales y Sus Aplicaciones En Dinámicas Aleatorias de Poblaciones Celulares. Centro de estudios avazados, IVIC, 2004, doi:3810. 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' ...