Journal
JOURNAL OF COMPUTATIONAL CHEMISTRY
Volume 31, Issue 1, Pages 174-184Publisher
WILEY
DOI: 10.1002/jcc.21306
Keywords
virtual screening; scoring function; drug design; docking; free energy of binding
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Funding
- Estonian Science Foundation [JD80]
- Estonian Ministry for Education and Research [SF0140031Bs09]
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A dataset of protein-drug complexes with experimental binding energy and crystal structure were analyzed and the performance of different docking engines and scoring functions (as well as components of these) for predicting the free energy of binding and several ligand efficiency indices were compared. The aim was not to evaluate the best docking method, but to determine the effect of different efficiency indices on the experimental and predicted free energy. Some ligand efficiency indices, such as Delta G/W (Wiener index), Delta G/NoC (number of carbons), and Delta G/P (partition coefficient), improve the correlation between experimental and calculated values. This effect was shown to be valid across the different scoring functions and docking programs. It also removes the common bias of scoring functions in favor of larger ligands. For all scoring functions, the efficiency indices effectively normalize the free energy derived indices, to give values closer to experiment. Compound collection filtering can be done prior or after docking, using pharmacokinetic as well as pharmacodynamic profiles. Achieving these better correlations with experiment can improve the ability of docking scoring functions to predict active molecules in virtual screening. (c) 2009 Wiley Periodicals, Inc. J Comput Chem 31: 174-184, 2010
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