Protein structure predictions by enhanced conformational sampling methods

In this Special Festschrift Issue for the celebration of Professor Nobuhiro Gō’s 80th birthday, we review enhanced conformational sampling methods for protein structure predictions. We present several generalized-ensemble algorithms such as multicanonical algorithm, replica-exchange method, etc. and...

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Detalles Bibliográficos
Autor principal: Okamoto, Yuko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Biophysical Society of Japan (BSJ) 2019
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6976031/
https://www.ncbi.nlm.nih.gov/pubmed/31984190
http://dx.doi.org/10.2142/biophysico.16.0_344
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author Okamoto, Yuko
author_facet Okamoto, Yuko
author_sort Okamoto, Yuko
collection PubMed
description In this Special Festschrift Issue for the celebration of Professor Nobuhiro Gō’s 80th birthday, we review enhanced conformational sampling methods for protein structure predictions. We present several generalized-ensemble algorithms such as multicanonical algorithm, replica-exchange method, etc. and parallel Monte Carlo or molecular dynamics method with genetic crossover. Examples of the results of these methods applied to the predictions of protein tertiary structures are also presented.
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spelling pubmed-69760312020-01-24 Protein structure predictions by enhanced conformational sampling methods Okamoto, Yuko Biophys Physicobiol Review Article In this Special Festschrift Issue for the celebration of Professor Nobuhiro Gō’s 80th birthday, we review enhanced conformational sampling methods for protein structure predictions. We present several generalized-ensemble algorithms such as multicanonical algorithm, replica-exchange method, etc. and parallel Monte Carlo or molecular dynamics method with genetic crossover. Examples of the results of these methods applied to the predictions of protein tertiary structures are also presented. The Biophysical Society of Japan (BSJ) 2019-11-29 /pmc/articles/PMC6976031/ /pubmed/31984190 http://dx.doi.org/10.2142/biophysico.16.0_344 Text en 2019 © The Biophysical Society of Japan This article is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. To view a copy of this license, visit https://creativecommons.org/licenses/by-nc-sa/4.0/.
spellingShingle Review Article
Okamoto, Yuko
Protein structure predictions by enhanced conformational sampling methods
title Protein structure predictions by enhanced conformational sampling methods
title_full Protein structure predictions by enhanced conformational sampling methods
title_fullStr Protein structure predictions by enhanced conformational sampling methods
title_full_unstemmed Protein structure predictions by enhanced conformational sampling methods
title_short Protein structure predictions by enhanced conformational sampling methods
title_sort protein structure predictions by enhanced conformational sampling methods
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6976031/
https://www.ncbi.nlm.nih.gov/pubmed/31984190
http://dx.doi.org/10.2142/biophysico.16.0_344
work_keys_str_mv AT okamotoyuko proteinstructurepredictionsbyenhancedconformationalsamplingmethods

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