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Energy Landscape and Global Optimization for a Frustrated Model Protein
[Image: see text] The three-color (BLN) 69-residue model protein was designed to exhibit frustrated folding. We investigate the energy landscape of this protein using disconnectivity graphs and compare it to a Go̅ model, which is designed to reduce the frustration by removing all non-native attracti...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2011
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3182752/ https://www.ncbi.nlm.nih.gov/pubmed/21866973 http://dx.doi.org/10.1021/jp207246m |
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author | Oakley, Mark T. Wales, David J. Johnston, Roy L. |
author_facet | Oakley, Mark T. Wales, David J. Johnston, Roy L. |
author_sort | Oakley, Mark T. |
collection | PubMed |
description | [Image: see text] The three-color (BLN) 69-residue model protein was designed to exhibit frustrated folding. We investigate the energy landscape of this protein using disconnectivity graphs and compare it to a Go̅ model, which is designed to reduce the frustration by removing all non-native attractive interactions. Finding the global minimum on a frustrated energy landscape is a good test of global optimization techniques, and we present calculations evaluating the performance of basin-hopping and genetic algorithms for this system. Comparisons are made with the widely studied 46-residue BLN protein. We show that the energy landscape of the 69-residue BLN protein contains several deep funnels, each of which corresponds to a different β-barrel structure. |
format | Online Article Text |
id | pubmed-3182752 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-31827522011-09-30 Energy Landscape and Global Optimization for a Frustrated Model Protein Oakley, Mark T. Wales, David J. Johnston, Roy L. J Phys Chem B [Image: see text] The three-color (BLN) 69-residue model protein was designed to exhibit frustrated folding. We investigate the energy landscape of this protein using disconnectivity graphs and compare it to a Go̅ model, which is designed to reduce the frustration by removing all non-native attractive interactions. Finding the global minimum on a frustrated energy landscape is a good test of global optimization techniques, and we present calculations evaluating the performance of basin-hopping and genetic algorithms for this system. Comparisons are made with the widely studied 46-residue BLN protein. We show that the energy landscape of the 69-residue BLN protein contains several deep funnels, each of which corresponds to a different β-barrel structure. American Chemical Society 2011-08-26 2011-10-06 /pmc/articles/PMC3182752/ /pubmed/21866973 http://dx.doi.org/10.1021/jp207246m Text en Copyright © 2011 American Chemical Society http://pubs.acs.org This is an open-access article distributed under the ACS AuthorChoice Terms & Conditions. Any use of this article, must conform to the terms of that license which are available at http://pubs.acs.org. |
spellingShingle | Oakley, Mark T. Wales, David J. Johnston, Roy L. Energy Landscape and Global Optimization for a Frustrated Model Protein |
title | Energy Landscape and Global Optimization for a Frustrated Model Protein |
title_full | Energy Landscape and Global Optimization for a Frustrated Model Protein |
title_fullStr | Energy Landscape and Global Optimization for a Frustrated Model Protein |
title_full_unstemmed | Energy Landscape and Global Optimization for a Frustrated Model Protein |
title_short | Energy Landscape and Global Optimization for a Frustrated Model Protein |
title_sort | energy landscape and global optimization for a frustrated model protein |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3182752/ https://www.ncbi.nlm.nih.gov/pubmed/21866973 http://dx.doi.org/10.1021/jp207246m |
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