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Predicting Protein Dynamics and Allostery Using Multi-Protein Atomic Distance Constraints
The related concepts of protein dynamics, conformational ensembles and allostery are often difficult to study with molecular dynamics (MD) due to the timescales involved. We present ExProSE (Exploration of Protein Structural Ensembles), a distance geometry-based method that generates an ensemble of...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cell Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5343748/ https://www.ncbi.nlm.nih.gov/pubmed/28190781 http://dx.doi.org/10.1016/j.str.2017.01.008 |
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author | Greener, Joe G. Filippis, Ioannis Sternberg, Michael J.E. |
author_facet | Greener, Joe G. Filippis, Ioannis Sternberg, Michael J.E. |
author_sort | Greener, Joe G. |
collection | PubMed |
description | The related concepts of protein dynamics, conformational ensembles and allostery are often difficult to study with molecular dynamics (MD) due to the timescales involved. We present ExProSE (Exploration of Protein Structural Ensembles), a distance geometry-based method that generates an ensemble of protein structures from two input structures. ExProSE provides a unified framework for the exploration of protein structure and dynamics in a fast and accessible way. Using a dataset of apo/holo pairs it is shown that existing coarse-grained methods often cannot span large conformational changes. For T4-lysozyme, ExProSE is able to generate ensembles that are more native-like than tCONCOORD and NMSim, and comparable with targeted MD. By adding additional constraints representing potential modulators, ExProSE can predict allosteric sites. ExProSE ranks an allosteric pocket first or second for 27 out of 58 allosteric proteins, which is similar and complementary to existing methods. The ExProSE source code is freely available. |
format | Online Article Text |
id | pubmed-5343748 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Cell Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-53437482017-03-17 Predicting Protein Dynamics and Allostery Using Multi-Protein Atomic Distance Constraints Greener, Joe G. Filippis, Ioannis Sternberg, Michael J.E. Structure Resource The related concepts of protein dynamics, conformational ensembles and allostery are often difficult to study with molecular dynamics (MD) due to the timescales involved. We present ExProSE (Exploration of Protein Structural Ensembles), a distance geometry-based method that generates an ensemble of protein structures from two input structures. ExProSE provides a unified framework for the exploration of protein structure and dynamics in a fast and accessible way. Using a dataset of apo/holo pairs it is shown that existing coarse-grained methods often cannot span large conformational changes. For T4-lysozyme, ExProSE is able to generate ensembles that are more native-like than tCONCOORD and NMSim, and comparable with targeted MD. By adding additional constraints representing potential modulators, ExProSE can predict allosteric sites. ExProSE ranks an allosteric pocket first or second for 27 out of 58 allosteric proteins, which is similar and complementary to existing methods. The ExProSE source code is freely available. Cell Press 2017-03-07 /pmc/articles/PMC5343748/ /pubmed/28190781 http://dx.doi.org/10.1016/j.str.2017.01.008 Text en © 2017 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Resource Greener, Joe G. Filippis, Ioannis Sternberg, Michael J.E. Predicting Protein Dynamics and Allostery Using Multi-Protein Atomic Distance Constraints |
title | Predicting Protein Dynamics and Allostery Using Multi-Protein Atomic Distance Constraints |
title_full | Predicting Protein Dynamics and Allostery Using Multi-Protein Atomic Distance Constraints |
title_fullStr | Predicting Protein Dynamics and Allostery Using Multi-Protein Atomic Distance Constraints |
title_full_unstemmed | Predicting Protein Dynamics and Allostery Using Multi-Protein Atomic Distance Constraints |
title_short | Predicting Protein Dynamics and Allostery Using Multi-Protein Atomic Distance Constraints |
title_sort | predicting protein dynamics and allostery using multi-protein atomic distance constraints |
topic | Resource |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5343748/ https://www.ncbi.nlm.nih.gov/pubmed/28190781 http://dx.doi.org/10.1016/j.str.2017.01.008 |
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