Literature DB >> 10222412

Docking of hydrophobic ligands with interaction-based matching algorithms.

M Rarey1, B Kramer, T Lengauer.   

Abstract

MOTIVATION: Matching of chemical interacting groups is a common concept for docking and fragment placement algorithms in computer-aided drug design. These algorithms have been proven to be reliable and fast if at least a certain number of hydrogen bonds or salt bridges occur. However, the algorithms typically run into problems if hydrophobic fragments or ligands should be placed. In order to dock hydrophobic fragments without significant loss of computational efficiency, we have extended the interaction model and placement algorithms in our docking tool FlexX. The concept of multi-level interactions is introduced into the algorithms for automatic selection and placement of base fragments.
RESULTS: With the multi-level interaction model and the corresponding algorithmic extensions, we were able to improve the overall performance of FlexX significantly. We tested the approach with a set of 200 protein-ligand complexes taken from the Brookhaven Protein Data Bank (PDB). The number of test cases which can be docked within 1.5 A RMSD from the crystal structure can be increased from 58 to 64%. The performance gain is paid for by an increase in computation time from 73 to 91 s on average per protein-ligand complex. AVAILABILITY: The FlexX molecular docking software is available for UNIX platforms IRIX, Solaris and Linux. See http://cartan.gmd.de/FlexX for additional information.

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Year:  1999        PMID: 10222412     DOI: 10.1093/bioinformatics/15.3.243

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  13 in total

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5.  ProPose: a docking engine based on a fully configurable protein-ligand interaction model.

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Journal:  J Mol Model       Date:  2004-10-08       Impact factor: 1.810

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Journal:  J Biol Chem       Date:  2012-03-14       Impact factor: 5.157

8.  Carborane clusters in computational drug design: a comparative docking evaluation using AutoDock, FlexX, Glide, and Surflex.

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9.  Human NAD(P)H:quinone oxidoreductase type I (hNQO1) activation of quinone propionic acid trigger groups.

Authors:  Maria F Mendoza; Nicole M Hollabaugh; Suraj U Hettiarachchi; Robin L McCarley
Journal:  Biochemistry       Date:  2012-09-28       Impact factor: 3.162

10.  A comprehensive analysis of the structure-function relationship in proteins based on local structure similarity.

Authors:  Torgeir R Hvidsten; Astrid Laegreid; Andriy Kryshtafovych; Gunnar Andersson; Krzysztof Fidelis; Jan Komorowski
Journal:  PLoS One       Date:  2009-07-15       Impact factor: 3.240

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