Literature DB >> 19508918

Targeted scoring functions for virtual screening.

Markus H J Seifert1.   

Abstract

The benefit offered by virtual screening methods during the early drug discovery process is directly related to the predictivity of scoring functions that assess protein-ligand binding affinity. The scoring of protein-ligand complexes, however, is still a challenge: despite great efforts, a universal and accurate scoring method has not been developed up to now. Targeted scoring functions, in contrast, enhance virtual screening performance significantly. This review analyzes recent developments and future directions in the area of targeted scoring functions.

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Year:  2009        PMID: 19508918     DOI: 10.1016/j.drudis.2009.03.013

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  20 in total

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5.  A knowledge-guided strategy for improving the accuracy of scoring functions in binding affinity prediction.

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7.  Structural properties of non-traditional drug targets present new challenges for virtual screening.

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8.  Exploring Structure-Activity Data Using the Landscape Paradigm.

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9.  The importance of ARG513 as a hydrogen bond anchor to discover COX-2 inhibitors in a virtual screening campaign.

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10.  A machine learning approach to predicting protein-ligand binding affinity with applications to molecular docking.

Authors:  Pedro J Ballester; John B O Mitchell
Journal:  Bioinformatics       Date:  2010-03-17       Impact factor: 6.937

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