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Predictive Power of Molecular Dynamics Receptor Structures in Virtual Screening
[Image: see text] Molecular dynamics (MD) simulation is a well-established method for understanding protein dynamics. Conformations from unrestrained MD simulations have yet to be assessed for blind virtual screening (VS) by docking. This study presents a critical analysis of the predictive power of...
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/PMC3124922/ https://www.ncbi.nlm.nih.gov/pubmed/21534609 http://dx.doi.org/10.1021/ci200117n |
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author | Nichols, Sara E. Baron, Riccardo Ivetac, Anthony McCammon, J. Andrew |
author_facet | Nichols, Sara E. Baron, Riccardo Ivetac, Anthony McCammon, J. Andrew |
author_sort | Nichols, Sara E. |
collection | PubMed |
description | [Image: see text] Molecular dynamics (MD) simulation is a well-established method for understanding protein dynamics. Conformations from unrestrained MD simulations have yet to be assessed for blind virtual screening (VS) by docking. This study presents a critical analysis of the predictive power of MD snapshots to this regard, evaluating two well-characterized systems of varying flexibility in ligand-bound and unbound configurations. Results from such VS predictions are discussed with respect to experimentally determined structures. In all cases, MD simulations provide snapshots that improve VS predictive power over known crystal structures, possibly due to sampling more relevant receptor conformations. Additionally, MD can move conformations previously not amenable to docking into the predictive range. |
format | Online Article Text |
id | pubmed-3124922 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-31249222011-06-28 Predictive Power of Molecular Dynamics Receptor Structures in Virtual Screening Nichols, Sara E. Baron, Riccardo Ivetac, Anthony McCammon, J. Andrew J Chem Inf Model [Image: see text] Molecular dynamics (MD) simulation is a well-established method for understanding protein dynamics. Conformations from unrestrained MD simulations have yet to be assessed for blind virtual screening (VS) by docking. This study presents a critical analysis of the predictive power of MD snapshots to this regard, evaluating two well-characterized systems of varying flexibility in ligand-bound and unbound configurations. Results from such VS predictions are discussed with respect to experimentally determined structures. In all cases, MD simulations provide snapshots that improve VS predictive power over known crystal structures, possibly due to sampling more relevant receptor conformations. Additionally, MD can move conformations previously not amenable to docking into the predictive range. American Chemical Society 2011-05-02 2011-06-27 /pmc/articles/PMC3124922/ /pubmed/21534609 http://dx.doi.org/10.1021/ci200117n 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 | Nichols, Sara E. Baron, Riccardo Ivetac, Anthony McCammon, J. Andrew Predictive Power of Molecular Dynamics Receptor Structures in Virtual Screening |
title | Predictive Power of Molecular Dynamics Receptor Structures in Virtual Screening |
title_full | Predictive Power of Molecular Dynamics Receptor Structures in Virtual Screening |
title_fullStr | Predictive Power of Molecular Dynamics Receptor Structures in Virtual Screening |
title_full_unstemmed | Predictive Power of Molecular Dynamics Receptor Structures in Virtual Screening |
title_short | Predictive Power of Molecular Dynamics Receptor Structures in Virtual Screening |
title_sort | predictive power of molecular dynamics receptor structures in virtual screening |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3124922/ https://www.ncbi.nlm.nih.gov/pubmed/21534609 http://dx.doi.org/10.1021/ci200117n |
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