Abstract

We present a comprehensive study of the performance of fast scoring functions for library docking using the program FlexX as the docking engine. Four scoring functions, among them two recently developed knowledge-based potentials, are evaluated on seven target proteins whose binding sites represent a wide range of size, form, and polarity. The results of these calculations give valuable insight into strengths and weaknesses of current scoring functions. Furthermore, it is shown that a well-chosen combination of two of the tested scoring functions leads to a new, robust scoring scheme with superior performance in virtual screening.

Keywords

Virtual screeningStrengths and weaknessesDocking (animal)ChemistryMachine learningComputer scienceData miningArtificial intelligenceDrug discoveryBiochemistryPsychology

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Publication Info

Year
2001
Type
article
Volume
44
Issue
7
Pages
1035-1042
Citations
487
Access
Closed

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Martin Ståhl, Matthias Rarey (2001). Detailed Analysis of Scoring Functions for Virtual Screening. Journal of Medicinal Chemistry , 44 (7) , 1035-1042. https://doi.org/10.1021/jm0003992

Identifiers

DOI
10.1021/jm0003992