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Protein Frustratometer 2: a tool to localize energetic frustration in protein molecules, now with electrostatics
The protein frustratometer is an energy landscape theory-inspired algorithm that aims at localizing and quantifying the energetic frustration present in protein molecules. Frustration is a useful concept for analyzing proteins’ biological behavior. It compares the energy distributions of the native...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4987889/ https://www.ncbi.nlm.nih.gov/pubmed/27131359 http://dx.doi.org/10.1093/nar/gkw304 |
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author | Parra, R. Gonzalo Schafer, Nicholas P. Radusky, Leandro G. Tsai, Min-Yeh Guzovsky, A. Brenda Wolynes, Peter G. Ferreiro, Diego U. |
author_facet | Parra, R. Gonzalo Schafer, Nicholas P. Radusky, Leandro G. Tsai, Min-Yeh Guzovsky, A. Brenda Wolynes, Peter G. Ferreiro, Diego U. |
author_sort | Parra, R. Gonzalo |
collection | PubMed |
description | The protein frustratometer is an energy landscape theory-inspired algorithm that aims at localizing and quantifying the energetic frustration present in protein molecules. Frustration is a useful concept for analyzing proteins’ biological behavior. It compares the energy distributions of the native state with respect to structural decoys. The network of minimally frustrated interactions encompasses the folding core of the molecule. Sites of high local frustration often correlate with functional regions such as binding sites and regions involved in allosteric transitions. We present here an upgraded version of a webserver that measures local frustration. The new implementation that allows the inclusion of electrostatic energy terms, important to the interactions with nucleic acids, is significantly faster than the previous version enabling the analysis of large macromolecular complexes within a user-friendly interface. The webserver is freely available at URL: http://frustratometer.qb.fcen.uba.ar. |
format | Online Article Text |
id | pubmed-4987889 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-49878892016-08-22 Protein Frustratometer 2: a tool to localize energetic frustration in protein molecules, now with electrostatics Parra, R. Gonzalo Schafer, Nicholas P. Radusky, Leandro G. Tsai, Min-Yeh Guzovsky, A. Brenda Wolynes, Peter G. Ferreiro, Diego U. Nucleic Acids Res Web Server issue The protein frustratometer is an energy landscape theory-inspired algorithm that aims at localizing and quantifying the energetic frustration present in protein molecules. Frustration is a useful concept for analyzing proteins’ biological behavior. It compares the energy distributions of the native state with respect to structural decoys. The network of minimally frustrated interactions encompasses the folding core of the molecule. Sites of high local frustration often correlate with functional regions such as binding sites and regions involved in allosteric transitions. We present here an upgraded version of a webserver that measures local frustration. The new implementation that allows the inclusion of electrostatic energy terms, important to the interactions with nucleic acids, is significantly faster than the previous version enabling the analysis of large macromolecular complexes within a user-friendly interface. The webserver is freely available at URL: http://frustratometer.qb.fcen.uba.ar. Oxford University Press 2016-07-08 2016-04-29 /pmc/articles/PMC4987889/ /pubmed/27131359 http://dx.doi.org/10.1093/nar/gkw304 Text en © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Web Server issue Parra, R. Gonzalo Schafer, Nicholas P. Radusky, Leandro G. Tsai, Min-Yeh Guzovsky, A. Brenda Wolynes, Peter G. Ferreiro, Diego U. Protein Frustratometer 2: a tool to localize energetic frustration in protein molecules, now with electrostatics |
title | Protein Frustratometer 2: a tool to localize energetic frustration in protein molecules, now with electrostatics |
title_full | Protein Frustratometer 2: a tool to localize energetic frustration in protein molecules, now with electrostatics |
title_fullStr | Protein Frustratometer 2: a tool to localize energetic frustration in protein molecules, now with electrostatics |
title_full_unstemmed | Protein Frustratometer 2: a tool to localize energetic frustration in protein molecules, now with electrostatics |
title_short | Protein Frustratometer 2: a tool to localize energetic frustration in protein molecules, now with electrostatics |
title_sort | protein frustratometer 2: a tool to localize energetic frustration in protein molecules, now with electrostatics |
topic | Web Server issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4987889/ https://www.ncbi.nlm.nih.gov/pubmed/27131359 http://dx.doi.org/10.1093/nar/gkw304 |
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