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Predictive Power of Molecular Dynamics Receptor Structures in Virtual Screening
Author(s) -
Sara E. Nichols,
Riccardo Baron,
Anthony Ivetac,
J. Andrew McCammon
Publication year - 2011
Publication title -
journal of chemical information and modeling
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.24
H-Index - 160
eISSN - 1549-960X
pISSN - 1549-9596
DOI - 10.1021/ci200117n
Subject(s) - virtual screening , molecular dynamics , predictive power , docking (animal) , computer science , flexibility (engineering) , biological system , chemistry , computational biology , computational chemistry , physics , mathematics , biology , medicine , nursing , statistics , quantum mechanics
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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