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Theoretical Insights into the Biophysics of Protein Bi-stability and Evolutionary Switches
Deciphering the effects of nonsynonymous mutations on protein structure is central to many areas of biomedical research and is of fundamental importance to the study of molecular evolution. Much of the investigation of protein evolution has focused on mutations that leave a protein’s folded structur...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4890782/ https://www.ncbi.nlm.nih.gov/pubmed/27253392 http://dx.doi.org/10.1371/journal.pcbi.1004960 |
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author | Sikosek, Tobias Krobath, Heinrich Chan, Hue Sun |
author_facet | Sikosek, Tobias Krobath, Heinrich Chan, Hue Sun |
author_sort | Sikosek, Tobias |
collection | PubMed |
description | Deciphering the effects of nonsynonymous mutations on protein structure is central to many areas of biomedical research and is of fundamental importance to the study of molecular evolution. Much of the investigation of protein evolution has focused on mutations that leave a protein’s folded structure essentially unchanged. However, to evolve novel folds of proteins, mutations that lead to large conformational modifications have to be involved. Unraveling the basic biophysics of such mutations is a challenge to theory, especially when only one or two amino acid substitutions cause a large-scale conformational switch. Among the few such mutational switches identified experimentally, the one between the G(A) all-α and G(B) α+β folds is extensively characterized; but all-atom simulations using fully transferrable potentials have not been able to account for this striking switching behavior. Here we introduce an explicit-chain model that combines structure-based native biases for multiple alternative structures with a general physical atomic force field, and apply this construct to twelve mutants spanning the sequence variation between G(A) and G(B). In agreement with experiment, we observe conformational switching from G(A) to G(B) upon a single L45Y substitution in the GA98 mutant. In line with the latent evolutionary potential concept, our model shows a gradual sequence-dependent change in fold preference in the mutants before this switch. Our analysis also indicates that a sharp G(A)/G(B) switch may arise from the orientation dependence of aromatic π-interactions. These findings provide physical insights toward rationalizing, predicting and designing evolutionary conformational switches. |
format | Online Article Text |
id | pubmed-4890782 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-48907822016-06-10 Theoretical Insights into the Biophysics of Protein Bi-stability and Evolutionary Switches Sikosek, Tobias Krobath, Heinrich Chan, Hue Sun PLoS Comput Biol Research Article Deciphering the effects of nonsynonymous mutations on protein structure is central to many areas of biomedical research and is of fundamental importance to the study of molecular evolution. Much of the investigation of protein evolution has focused on mutations that leave a protein’s folded structure essentially unchanged. However, to evolve novel folds of proteins, mutations that lead to large conformational modifications have to be involved. Unraveling the basic biophysics of such mutations is a challenge to theory, especially when only one or two amino acid substitutions cause a large-scale conformational switch. Among the few such mutational switches identified experimentally, the one between the G(A) all-α and G(B) α+β folds is extensively characterized; but all-atom simulations using fully transferrable potentials have not been able to account for this striking switching behavior. Here we introduce an explicit-chain model that combines structure-based native biases for multiple alternative structures with a general physical atomic force field, and apply this construct to twelve mutants spanning the sequence variation between G(A) and G(B). In agreement with experiment, we observe conformational switching from G(A) to G(B) upon a single L45Y substitution in the GA98 mutant. In line with the latent evolutionary potential concept, our model shows a gradual sequence-dependent change in fold preference in the mutants before this switch. Our analysis also indicates that a sharp G(A)/G(B) switch may arise from the orientation dependence of aromatic π-interactions. These findings provide physical insights toward rationalizing, predicting and designing evolutionary conformational switches. Public Library of Science 2016-06-02 /pmc/articles/PMC4890782/ /pubmed/27253392 http://dx.doi.org/10.1371/journal.pcbi.1004960 Text en © 2016 Sikosek et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Sikosek, Tobias Krobath, Heinrich Chan, Hue Sun Theoretical Insights into the Biophysics of Protein Bi-stability and Evolutionary Switches |
title | Theoretical Insights into the Biophysics of Protein Bi-stability and Evolutionary Switches |
title_full | Theoretical Insights into the Biophysics of Protein Bi-stability and Evolutionary Switches |
title_fullStr | Theoretical Insights into the Biophysics of Protein Bi-stability and Evolutionary Switches |
title_full_unstemmed | Theoretical Insights into the Biophysics of Protein Bi-stability and Evolutionary Switches |
title_short | Theoretical Insights into the Biophysics of Protein Bi-stability and Evolutionary Switches |
title_sort | theoretical insights into the biophysics of protein bi-stability and evolutionary switches |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4890782/ https://www.ncbi.nlm.nih.gov/pubmed/27253392 http://dx.doi.org/10.1371/journal.pcbi.1004960 |
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