Extraordinarily Adaptive Properties of the Genetically Encoded Amino Acids
dc.contributor.author | Ilardo, Melissa | |
dc.contributor.author | Meringer, Markus | |
dc.contributor.author | Freeland, Stephen | |
dc.contributor.author | Rasulev, Bakhtiyor | |
dc.contributor.author | Cleaves, H. James II | |
dc.date.accessioned | 2022-03-28T14:47:29Z | |
dc.date.available | 2022-03-28T14:47:29Z | |
dc.date.issued | 2015-03-24 | |
dc.description.abstract | Using novel advances in computational chemistry, we demonstrate that the set of 20 genetically encoded amino acids, used nearly universally to construct all coded terrestrial proteins, has been highly influenced by natural selection. We defined an adaptive set of amino acids as one whose members thoroughly cover relevant physico-chemical properties, or “chemistry space.” Using this metric, we compared the encoded amino acid alphabet to random sets of amino acids. These random sets were drawn from a computationally generated compound library containing 1913 alternative amino acids that lie within the molecular weight range of the encoded amino acids. Sets that cover chemistry space better than the genetically encoded alphabet are extremely rare and energetically costly. Further analysis of more adaptive sets reveals common features and anomalies and we explore their implications for synthetic biology. We present these computations as evidence that the set of 20 amino acids found within the standard genetic code is the result of considerable natural selection. The amino acids used for constructing coded proteins may represent a largely global optimum, such that any aqueous biochemistry would use a very similar set. | en_US |
dc.description.sponsorship | M.I., H.J.C. and M.M. would like to thank the Earth-Life Science Institute for support during the conduct of this research. H.J.C., S.F. and M.M. would like to thank the NASA Astrobiology Institute Director's Discretionary Fund for grant support during the initial stages of this work. H.J.C. would like to thank the NASA-NSF Center for Chemical Evolution for material support for this work. B.R. would like to thank Prof. Jerzy Leszczynski and Interdisciplinary Center for Nanotoxicity for providing computer facilities during part of this work. All authors are indebted to the Centre for GeoGenetics for funding publication fees. | en_US |
dc.description.uri | https://www.nature.com/articles/srep09414 | en_US |
dc.format.extent | 6 pages | en_US |
dc.genre | journal articles | en_US |
dc.identifier | doi:10.13016/m249lu-2t8f | |
dc.identifier.citation | Ilardo, M., Meringer, M., Freeland, S. et al. Extraordinarily Adaptive Properties of the Genetically Encoded Amino Acids. Sci Rep 5, 9414 (2015). https://doi.org/10.1038/srep09414 | en_US |
dc.identifier.issn | https://doi.org/10.1038/srep09414 | |
dc.identifier.uri | http://hdl.handle.net/11603/24442 | |
dc.language.iso | en_US | en_US |
dc.publisher | Nature | en_US |
dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
dc.relation.ispartof | UMBC Individualized Study Program (INDS) | |
dc.relation.ispartof | UMBC Faculty Collection | |
dc.rights | This item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author. | en_US |
dc.rights | Attribution 4.0 International (CC BY 4.0) | * |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | * |
dc.title | Extraordinarily Adaptive Properties of the Genetically Encoded Amino Acids | en_US |
dc.type | Text | en_US |
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