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Why Do Protein Folding Rates Correlate with Metrics of Native Topology?

For almost 15 years, the experimental correlation between protein folding rates and the contact order parameter has been under scrutiny. Here, we use a simple simulation model combined with a native-centric interaction potential to investigate the physical roots of this empirical observation. We sim...

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Detalles Bibliográficos
Autores principales: Faísca, Patrícia F. N., Travasso, Rui D. M., Parisi, Andrea, Rey, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3338708/
https://www.ncbi.nlm.nih.gov/pubmed/22558173
http://dx.doi.org/10.1371/journal.pone.0035599
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author Faísca, Patrícia F. N.
Travasso, Rui D. M.
Parisi, Andrea
Rey, Antonio
author_facet Faísca, Patrícia F. N.
Travasso, Rui D. M.
Parisi, Andrea
Rey, Antonio
author_sort Faísca, Patrícia F. N.
collection PubMed
description For almost 15 years, the experimental correlation between protein folding rates and the contact order parameter has been under scrutiny. Here, we use a simple simulation model combined with a native-centric interaction potential to investigate the physical roots of this empirical observation. We simulate a large set of circular permutants, thus eliminating dependencies of the folding rate on other protein properties (e.g. stability). We show that the rate-contact order correlation is a consequence of the fact that, in high contact order structures, the contact order of the transition state ensemble closely mirrors the contact order of the native state. This happens because, in these structures, the native topology is represented in the transition state through the formation of a network of tertiary interactions that are distinctively long-ranged.
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spelling pubmed-33387082012-05-03 Why Do Protein Folding Rates Correlate with Metrics of Native Topology? Faísca, Patrícia F. N. Travasso, Rui D. M. Parisi, Andrea Rey, Antonio PLoS One Research Article For almost 15 years, the experimental correlation between protein folding rates and the contact order parameter has been under scrutiny. Here, we use a simple simulation model combined with a native-centric interaction potential to investigate the physical roots of this empirical observation. We simulate a large set of circular permutants, thus eliminating dependencies of the folding rate on other protein properties (e.g. stability). We show that the rate-contact order correlation is a consequence of the fact that, in high contact order structures, the contact order of the transition state ensemble closely mirrors the contact order of the native state. This happens because, in these structures, the native topology is represented in the transition state through the formation of a network of tertiary interactions that are distinctively long-ranged. Public Library of Science 2012-04-27 /pmc/articles/PMC3338708/ /pubmed/22558173 http://dx.doi.org/10.1371/journal.pone.0035599 Text en Faísca 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Faísca, Patrícia F. N.
Travasso, Rui D. M.
Parisi, Andrea
Rey, Antonio
Why Do Protein Folding Rates Correlate with Metrics of Native Topology?
title Why Do Protein Folding Rates Correlate with Metrics of Native Topology?
title_full Why Do Protein Folding Rates Correlate with Metrics of Native Topology?
title_fullStr Why Do Protein Folding Rates Correlate with Metrics of Native Topology?
title_full_unstemmed Why Do Protein Folding Rates Correlate with Metrics of Native Topology?
title_short Why Do Protein Folding Rates Correlate with Metrics of Native Topology?
title_sort why do protein folding rates correlate with metrics of native topology?
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3338708/
https://www.ncbi.nlm.nih.gov/pubmed/22558173
http://dx.doi.org/10.1371/journal.pone.0035599
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