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Fast and accurate prediction of protein side-chain conformations

Summary: We developed a fast and accurate side-chain modeling program [Optimized Side Chain Atomic eneRgy (OSCAR)-star] based on orientation-dependent energy functions and a rigid rotamer model. The average computing time was 18 s per protein for 218 test proteins with higher prediction accuracy (1....

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Detalles Bibliográficos
Autores principales: Liang, Shide, Zheng, Dandan, Zhang, Chi, Standley, Daron M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3187653/
https://www.ncbi.nlm.nih.gov/pubmed/21873640
http://dx.doi.org/10.1093/bioinformatics/btr482
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author Liang, Shide
Zheng, Dandan
Zhang, Chi
Standley, Daron M.
author_facet Liang, Shide
Zheng, Dandan
Zhang, Chi
Standley, Daron M.
author_sort Liang, Shide
collection PubMed
description Summary: We developed a fast and accurate side-chain modeling program [Optimized Side Chain Atomic eneRgy (OSCAR)-star] based on orientation-dependent energy functions and a rigid rotamer model. The average computing time was 18 s per protein for 218 test proteins with higher prediction accuracy (1.1% increase for χ(1) and 0.8% increase for χ(1+2)) than the best performing program developed by other groups. We show that the energy functions, which were calibrated to tolerate the discrete errors of rigid rotamers, are appropriate for protein loop selection, especially for decoys without extensive structural refinement. Availability: OSCAR-star and the 218 test proteins are available for download at http://sysimm.ifrec.osaka-u.ac.jp/OSCAR Contact: standley@ifrec.osaka-u.ac.jp Supplementary information: Supplementary data are available at Bioinformatics online.
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spelling pubmed-31876532011-10-05 Fast and accurate prediction of protein side-chain conformations Liang, Shide Zheng, Dandan Zhang, Chi Standley, Daron M. Bioinformatics Applications Note Summary: We developed a fast and accurate side-chain modeling program [Optimized Side Chain Atomic eneRgy (OSCAR)-star] based on orientation-dependent energy functions and a rigid rotamer model. The average computing time was 18 s per protein for 218 test proteins with higher prediction accuracy (1.1% increase for χ(1) and 0.8% increase for χ(1+2)) than the best performing program developed by other groups. We show that the energy functions, which were calibrated to tolerate the discrete errors of rigid rotamers, are appropriate for protein loop selection, especially for decoys without extensive structural refinement. Availability: OSCAR-star and the 218 test proteins are available for download at http://sysimm.ifrec.osaka-u.ac.jp/OSCAR Contact: standley@ifrec.osaka-u.ac.jp Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2011-10-15 2011-08-27 /pmc/articles/PMC3187653/ /pubmed/21873640 http://dx.doi.org/10.1093/bioinformatics/btr482 Text en © The Author(s) 2011. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Note
Liang, Shide
Zheng, Dandan
Zhang, Chi
Standley, Daron M.
Fast and accurate prediction of protein side-chain conformations
title Fast and accurate prediction of protein side-chain conformations
title_full Fast and accurate prediction of protein side-chain conformations
title_fullStr Fast and accurate prediction of protein side-chain conformations
title_full_unstemmed Fast and accurate prediction of protein side-chain conformations
title_short Fast and accurate prediction of protein side-chain conformations
title_sort fast and accurate prediction of protein side-chain conformations
topic Applications Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3187653/
https://www.ncbi.nlm.nih.gov/pubmed/21873640
http://dx.doi.org/10.1093/bioinformatics/btr482
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