Assessing predictors of changes in protein stability upon mutation using self-consistency.

The ability to predict the effect of mutations on protein stability is important for a wide range of tasks, from protein engineering to assessing the impact of SNPs to understanding basic protein biophysics. A number of methods have been developed that make these predictions, but assessing the accur...

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Autores principales:	Grant Thiltgen, Richard A Goldstein
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/d963bfca1cf040979378049acd78eed1
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spelling	oai:doaj.org-article:d963bfca1cf040979378049acd78eed12021-11-18T08:10:49ZAssessing predictors of changes in protein stability upon mutation using self-consistency.1932-620310.1371/journal.pone.0046084https://doaj.org/article/d963bfca1cf040979378049acd78eed12012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23144695/?tool=EBIhttps://doaj.org/toc/1932-6203The ability to predict the effect of mutations on protein stability is important for a wide range of tasks, from protein engineering to assessing the impact of SNPs to understanding basic protein biophysics. A number of methods have been developed that make these predictions, but assessing the accuracy of these tools is difficult given the limitations and inconsistencies of the experimental data. We evaluate four different methods based on the ability of these methods to generate consistent results for forward and back mutations, and examine how this ability varies with the nature and location of the mutation. We find that, while one method seems to outperform the others, the ability of these methods to make accurate predictions is limited.Grant ThiltgenRichard A GoldsteinPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 10, p e46084 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Grant Thiltgen Richard A Goldstein Assessing predictors of changes in protein stability upon mutation using self-consistency.
description	The ability to predict the effect of mutations on protein stability is important for a wide range of tasks, from protein engineering to assessing the impact of SNPs to understanding basic protein biophysics. A number of methods have been developed that make these predictions, but assessing the accuracy of these tools is difficult given the limitations and inconsistencies of the experimental data. We evaluate four different methods based on the ability of these methods to generate consistent results for forward and back mutations, and examine how this ability varies with the nature and location of the mutation. We find that, while one method seems to outperform the others, the ability of these methods to make accurate predictions is limited.
format	article
author	Grant Thiltgen Richard A Goldstein
author_facet	Grant Thiltgen Richard A Goldstein
author_sort	Grant Thiltgen
title	Assessing predictors of changes in protein stability upon mutation using self-consistency.
title_short	Assessing predictors of changes in protein stability upon mutation using self-consistency.
title_full	Assessing predictors of changes in protein stability upon mutation using self-consistency.
title_fullStr	Assessing predictors of changes in protein stability upon mutation using self-consistency.
title_full_unstemmed	Assessing predictors of changes in protein stability upon mutation using self-consistency.
title_sort	assessing predictors of changes in protein stability upon mutation using self-consistency.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/d963bfca1cf040979378049acd78eed1
work_keys_str_mv	AT grantthiltgen assessingpredictorsofchangesinproteinstabilityuponmutationusingselfconsistency AT richardagoldstein assessingpredictorsofchangesinproteinstabilityuponmutationusingselfconsistency
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Assessing predictors of changes in protein stability upon mutation using self-consistency.

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