Literature DB >> 10966571

DARWIN: a program for docking flexible molecules.

J S Taylor1, R M Burnett.   

Abstract

A new program named "DARWIN" has been developed to perform docking calculations with proteins and other biological molecules. The program uses the Genetic Algorithm to optimize the molecule's conformation and orientation under the selective pressure of minimizing the potential energy of the complex. A unique feature of DARWIN is that it communicates with the molecular mechanics program CHARMM to make the energy calculations. A second important feature is its parallel interface, which allows simultaneous use of multiple stand-alone copies of CHARMM to rapidly evaluate large numbers of potential solutions. This permits an "accuracy first" approach to docking, which avoids many of the common assumptions and shortcuts often made to reduce computation time. The method was applied to three protein-carbohydrate complexes: the crystallographically determined structures of Concanavalin A and Fab Se155-4; and a model structure for Fab ME36.1. Conformations close to the crystal structures were obtained with this approach, but some "false positive" solutions were also selected. Many of these could be eliminated by introducing different methods for simulating solvent effects. An effective screening method for docking a database of compounds to a single target enzyme using DARWIN is also presented.

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Year:  2000        PMID: 10966571

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  15 in total

Review 1.  A review of protein-small molecule docking methods.

Authors:  R D Taylor; P J Jewsbury; J W Essex
Journal:  J Comput Aided Mol Des       Date:  2002-03       Impact factor: 3.686

2.  Physicochemical and residue conservation calculations to improve the ranking of protein-protein docking solutions.

Authors:  Yuhua Duan; Boojala V B Reddy; Yiannis N Kaznessis
Journal:  Protein Sci       Date:  2005-02       Impact factor: 6.725

3.  Side-chain flexibility in protein-ligand binding: the minimal rotation hypothesis.

Authors:  Maria I Zavodszky; Leslie A Kuhn
Journal:  Protein Sci       Date:  2005-04       Impact factor: 6.725

4.  Improved side-chain modeling for protein-protein docking.

Authors:  Chu Wang; Ora Schueler-Furman; David Baker
Journal:  Protein Sci       Date:  2005-03-31       Impact factor: 6.725

Review 5.  Hierarchical docking of databases of multiple ligand conformations.

Authors:  David M Lorber; Brian K Shoichet
Journal:  Curr Top Med Chem       Date:  2005       Impact factor: 3.295

6.  A virtual active compound produced from the negative image of a ligand-binding pocket, and its application to in-silico drug screening.

Authors:  Yoshifumi Fukunishi; Satoru Kubota; Chisato Kanai; Haruki Nakamura
Journal:  J Comput Aided Mol Des       Date:  2006-06-21       Impact factor: 3.686

Review 7.  Towards the development of universal, fast and highly accurate docking/scoring methods: a long way to go.

Authors:  N Moitessier; P Englebienne; D Lee; J Lawandi; C R Corbeil
Journal:  Br J Pharmacol       Date:  2007-11-26       Impact factor: 8.739

Review 8.  Computational methods in drug discovery.

Authors:  Gregory Sliwoski; Sandeepkumar Kothiwale; Jens Meiler; Edward W Lowe
Journal:  Pharmacol Rev       Date:  2013-12-31       Impact factor: 25.468

9.  A fast protein-ligand docking algorithm based on hydrogen bond matching and surface shape complementarity.

Authors:  Wenjia Luo; Jianfeng Pei; Yushan Zhu
Journal:  J Mol Model       Date:  2009-10-13       Impact factor: 1.810

10.  Design of Deinococcus radiodurans thioredoxin reductase with altered thioredoxin specificity using computational alanine mutagenesis.

Authors:  Josiah Obiero; David A R Sanders
Journal:  Protein Sci       Date:  2011-05-03       Impact factor: 6.725

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