Literature DB >> 22869295

Virtual fragment screening: exploration of MM-PBSA re-scoring.

Sameer Kawatkar1, Demetri Moustakas, Matthew Miller, Diane Joseph-McCarthy.   

Abstract

An NMR fragment screening dataset with known binders and decoys was used to evaluate the ability of docking and re-scoring methods to identify fragment binders. Re-scoring docked poses using the Molecular Mechanics Poisson-Boltzmann Surface Area (MM-PBSA) implicit solvent model identifies additional active fragments relative to either docking or random fragment screening alone. Early enrichment, which is clearly most important in practice for selecting relatively small sets of compounds for experimental testing, is improved by MM-PBSA re-scoring. In addition, the value in MM-PBSA re-scoring of docked poses for virtual screening may be in lessening the effect of the variation in the protein complex structure used.

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Year:  2012        PMID: 22869295     DOI: 10.1007/s10822-012-9590-x

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  46 in total

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Journal:  J Comput Aided Mol Des       Date:  2009-06-30       Impact factor: 3.686

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