Predictive power of molecular dynamics receptor structures in virtual screening

J Chem Inf Model. 2011 Jun 27;51(6):1439-46. doi: 10.1021/ci200117n. Epub 2011 May 12.

Abstract

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.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Cytochrome-c Peroxidase / genetics
  • Cytochrome-c Peroxidase / metabolism
  • Drug Evaluation, Preclinical / methods*
  • HIV Reverse Transcriptase / antagonists & inhibitors
  • HIV Reverse Transcriptase / chemistry
  • HIV Reverse Transcriptase / metabolism
  • HIV-1 / enzymology
  • Molecular Dynamics Simulation*
  • Protein Conformation
  • Proteins / chemistry
  • Proteins / metabolism*
  • ROC Curve
  • Reverse Transcriptase Inhibitors / pharmacology
  • User-Computer Interface*

Substances

  • Proteins
  • Reverse Transcriptase Inhibitors
  • Cytochrome-c Peroxidase
  • HIV Reverse Transcriptase