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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...

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Autores principales: Nichols, Sara E., Baron, Riccardo, Ivetac, Anthony, McCammon, J. Andrew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2011
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.
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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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