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Structure-Based Prediction of Protein-Folding Transition Paths
We propose a general theory to describe the distribution of protein-folding transition paths. We show that transition paths follow a predictable sequence of high-free-energy transient states that are separated by free-energy barriers. Each transient state corresponds to the assembly of one or more d...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Biophysical Society
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5018131/ https://www.ncbi.nlm.nih.gov/pubmed/27602721 http://dx.doi.org/10.1016/j.bpj.2016.06.031 |
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author | Jacobs, William M. Shakhnovich, Eugene I. |
author_facet | Jacobs, William M. Shakhnovich, Eugene I. |
author_sort | Jacobs, William M. |
collection | PubMed |
description | We propose a general theory to describe the distribution of protein-folding transition paths. We show that transition paths follow a predictable sequence of high-free-energy transient states that are separated by free-energy barriers. Each transient state corresponds to the assembly of one or more discrete, cooperative units, which are determined directly from the native structure. We show that the transition state on a folding pathway is reached when a small number of critical contacts are formed between a specific set of substructures, after which folding proceeds downhill in free energy. This approach suggests a natural resolution for distinguishing parallel folding pathways and provides a simple means to predict the rate-limiting step in a folding reaction. Our theory identifies a common folding mechanism for proteins with diverse native structures and establishes general principles for the self-assembly of polymers with specific interactions. |
format | Online Article Text |
id | pubmed-5018131 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | The Biophysical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-50181312017-09-06 Structure-Based Prediction of Protein-Folding Transition Paths Jacobs, William M. Shakhnovich, Eugene I. Biophys J Proteins We propose a general theory to describe the distribution of protein-folding transition paths. We show that transition paths follow a predictable sequence of high-free-energy transient states that are separated by free-energy barriers. Each transient state corresponds to the assembly of one or more discrete, cooperative units, which are determined directly from the native structure. We show that the transition state on a folding pathway is reached when a small number of critical contacts are formed between a specific set of substructures, after which folding proceeds downhill in free energy. This approach suggests a natural resolution for distinguishing parallel folding pathways and provides a simple means to predict the rate-limiting step in a folding reaction. Our theory identifies a common folding mechanism for proteins with diverse native structures and establishes general principles for the self-assembly of polymers with specific interactions. The Biophysical Society 2016-09-06 2016-09-06 /pmc/articles/PMC5018131/ /pubmed/27602721 http://dx.doi.org/10.1016/j.bpj.2016.06.031 Text en © 2016 Biophysical Society. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Proteins Jacobs, William M. Shakhnovich, Eugene I. Structure-Based Prediction of Protein-Folding Transition Paths |
title | Structure-Based Prediction of Protein-Folding Transition Paths |
title_full | Structure-Based Prediction of Protein-Folding Transition Paths |
title_fullStr | Structure-Based Prediction of Protein-Folding Transition Paths |
title_full_unstemmed | Structure-Based Prediction of Protein-Folding Transition Paths |
title_short | Structure-Based Prediction of Protein-Folding Transition Paths |
title_sort | structure-based prediction of protein-folding transition paths |
topic | Proteins |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5018131/ https://www.ncbi.nlm.nih.gov/pubmed/27602721 http://dx.doi.org/10.1016/j.bpj.2016.06.031 |
work_keys_str_mv | AT jacobswilliamm structurebasedpredictionofproteinfoldingtransitionpaths AT shakhnovicheugenei structurebasedpredictionofproteinfoldingtransitionpaths |