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Amino acid composition of proteins reduces deleterious impact of mutations

The evolutionary origin of amino acid occurrence frequencies in proteins (composition) is not yet fully understood. We suggest that protein composition works alongside the genetic code to minimize impact of mutations on protein structure. First, we propose a novel method for estimating thermodynamic...

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Autor principal: Hormoz, Sahand
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3794375/
https://www.ncbi.nlm.nih.gov/pubmed/24108121
http://dx.doi.org/10.1038/srep02919
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author Hormoz, Sahand
author_facet Hormoz, Sahand
author_sort Hormoz, Sahand
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description The evolutionary origin of amino acid occurrence frequencies in proteins (composition) is not yet fully understood. We suggest that protein composition works alongside the genetic code to minimize impact of mutations on protein structure. First, we propose a novel method for estimating thermodynamic stability of proteins whose sequence is constrained to a fixed composition. Second, we quantify the average deleterious impact of substituting one amino acid with another. Natural proteome compositions are special in at least two ways: 1) Natural compositions do not generate more stable proteins than the average random composition, however, they result in proteins that are less susceptible to damage from mutations. 2) Natural proteome compositions that result in more stable proteins (i.e. those of thermophiles) are also tuned to have a higher tolerance for mutations. This is consistent with the observation that environmental factors selecting for more stable proteins also enhance the deleterious impact of mutations.
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spelling pubmed-37943752013-10-18 Amino acid composition of proteins reduces deleterious impact of mutations Hormoz, Sahand Sci Rep Article The evolutionary origin of amino acid occurrence frequencies in proteins (composition) is not yet fully understood. We suggest that protein composition works alongside the genetic code to minimize impact of mutations on protein structure. First, we propose a novel method for estimating thermodynamic stability of proteins whose sequence is constrained to a fixed composition. Second, we quantify the average deleterious impact of substituting one amino acid with another. Natural proteome compositions are special in at least two ways: 1) Natural compositions do not generate more stable proteins than the average random composition, however, they result in proteins that are less susceptible to damage from mutations. 2) Natural proteome compositions that result in more stable proteins (i.e. those of thermophiles) are also tuned to have a higher tolerance for mutations. This is consistent with the observation that environmental factors selecting for more stable proteins also enhance the deleterious impact of mutations. Nature Publishing Group 2013-10-10 /pmc/articles/PMC3794375/ /pubmed/24108121 http://dx.doi.org/10.1038/srep02919 Text en Copyright © 2013, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by-nc-sa/3.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-ShareALike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/
spellingShingle Article
Hormoz, Sahand
Amino acid composition of proteins reduces deleterious impact of mutations
title Amino acid composition of proteins reduces deleterious impact of mutations
title_full Amino acid composition of proteins reduces deleterious impact of mutations
title_fullStr Amino acid composition of proteins reduces deleterious impact of mutations
title_full_unstemmed Amino acid composition of proteins reduces deleterious impact of mutations
title_short Amino acid composition of proteins reduces deleterious impact of mutations
title_sort amino acid composition of proteins reduces deleterious impact of mutations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3794375/
https://www.ncbi.nlm.nih.gov/pubmed/24108121
http://dx.doi.org/10.1038/srep02919
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