Folding very short peptides using molecular dynamics.

Peptides often have conformational preferences. We simulated 133 peptide 8-mer fragments from six different proteins, sampled by replica-exchange molecular dynamics using Amber7 with a GB/SA (generalized-Born/solvent-accessible electrostatic approximation to water) implicit solvent. We found that 85...

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Autores principales: Bosco K Ho, Ken A Dill
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Publicado: Public Library of Science (PLoS) 2006
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Acceso en línea:https://doaj.org/article/9ccfa3ae784740949c541e4a4e37d9d8
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spelling oai:doaj.org-article:9ccfa3ae784740949c541e4a4e37d9d82021-11-25T05:41:07ZFolding very short peptides using molecular dynamics.1553-734X1553-735810.1371/journal.pcbi.0020027https://doaj.org/article/9ccfa3ae784740949c541e4a4e37d9d82006-04-01T00:00:00Zhttps://doi.org/10.1371/journal.pcbi.0020027https://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358Peptides often have conformational preferences. We simulated 133 peptide 8-mer fragments from six different proteins, sampled by replica-exchange molecular dynamics using Amber7 with a GB/SA (generalized-Born/solvent-accessible electrostatic approximation to water) implicit solvent. We found that 85 of the peptides have no preferred structure, while 48 of them converge to a preferred structure. In 85% of the converged cases (41 peptides), the structures found by the simulations bear some resemblance to their native structures, based on a coarse-grained backbone description. In particular, all seven of the beta hairpins in the native structures contain a fragment in the turn that is highly structured. In the eight cases where the bioinformatics-based I-sites library picks out native-like structures, the present simulations are largely in agreement. Such physics-based modeling may be useful for identifying early nuclei in folding kinetics and for assisting in protein-structure prediction methods that utilize the assembly of peptide fragments.Bosco K HoKen A DillPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 2, Iss 4, p e27 (2006)
institution DOAJ
collection DOAJ
language EN
topic Biology (General)
QH301-705.5
spellingShingle Biology (General)
QH301-705.5
Bosco K Ho
Ken A Dill
Folding very short peptides using molecular dynamics.
description Peptides often have conformational preferences. We simulated 133 peptide 8-mer fragments from six different proteins, sampled by replica-exchange molecular dynamics using Amber7 with a GB/SA (generalized-Born/solvent-accessible electrostatic approximation to water) implicit solvent. We found that 85 of the peptides have no preferred structure, while 48 of them converge to a preferred structure. In 85% of the converged cases (41 peptides), the structures found by the simulations bear some resemblance to their native structures, based on a coarse-grained backbone description. In particular, all seven of the beta hairpins in the native structures contain a fragment in the turn that is highly structured. In the eight cases where the bioinformatics-based I-sites library picks out native-like structures, the present simulations are largely in agreement. Such physics-based modeling may be useful for identifying early nuclei in folding kinetics and for assisting in protein-structure prediction methods that utilize the assembly of peptide fragments.
format article
author Bosco K Ho
Ken A Dill
author_facet Bosco K Ho
Ken A Dill
author_sort Bosco K Ho
title Folding very short peptides using molecular dynamics.
title_short Folding very short peptides using molecular dynamics.
title_full Folding very short peptides using molecular dynamics.
title_fullStr Folding very short peptides using molecular dynamics.
title_full_unstemmed Folding very short peptides using molecular dynamics.
title_sort folding very short peptides using molecular dynamics.
publisher Public Library of Science (PLoS)
publishDate 2006
url https://doaj.org/article/9ccfa3ae784740949c541e4a4e37d9d8
work_keys_str_mv AT boscokho foldingveryshortpeptidesusingmoleculardynamics
AT kenadill foldingveryshortpeptidesusingmoleculardynamics
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