Literature DB >> 9829696

Flexible docking using Tabu search and an empirical estimate of binding affinity.

C A Baxter1, C W Murray, D E Clark, D R Westhead, M D Eldridge.   

Abstract

This article describes the implementation of a new docking approach. The method uses a Tabu search methodology to dock flexibly ligand molecules into rigid receptor structures. It uses an empirical objective function with a small number of physically based terms derived from fitting experimental binding affinities for crystallographic complexes. This means that docking energies produced by the searching algorithm provide direct estimates of the binding affinities of the ligands. The method has been tested on 50 ligand-receptor complexes for which the experimental binding affinity and binding geometry are known. All water molecules are removed from the structures and ligand molecules are minimized in vacuo before docking. The lowest energy geometry produced by the docking protocol is within 1.5 A root-mean square of the experimental binding mode for 86% of the complexes. The lowest energies produced by the docking are in fair agreement with the known free energies of binding for the ligands.

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Year:  1998        PMID: 9829696

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


  72 in total

1.  The sensitivity of the results of molecular docking to induced fit effects: application to thrombin, thermolysin and neuraminidase.

Authors:  C W Murray; C A Baxter; A D Frenkel
Journal:  J Comput Aided Mol Des       Date:  1999-11       Impact factor: 3.686

2.  Deciphering common failures in molecular docking of ligand-protein complexes.

Authors:  G M Verkhivker; D Bouzida; D K Gehlhaar; P A Rejto; S Arthurs; A B Colson; S T Freer; V Larson; B A Luty; T Marrone; P W Rose
Journal:  J Comput Aided Mol Des       Date:  2000-11       Impact factor: 3.686

3.  Ligand-receptor docking with the Mining Minima optimizer.

Authors:  L David; R Luo; M K Gilson
Journal:  J Comput Aided Mol Des       Date:  2001-02       Impact factor: 3.686

4.  Computer based screening of compound databases: 1. Preselection of benzamidine-based thrombin inhibitors.

Authors:  T Fox; E E Haaksma
Journal:  J Comput Aided Mol Des       Date:  2000-07       Impact factor: 3.686

5.  Can we separate active from inactive conformations?

Authors:  David J Diller; Kenneth M Merz
Journal:  J Comput Aided Mol Des       Date:  2002-02       Impact factor: 3.686

6.  Q-fit: a probabilistic method for docking molecular fragments by sampling low energy conformational space.

Authors:  Richard M Jackson
Journal:  J Comput Aided Mol Des       Date:  2002-01       Impact factor: 3.686

7.  Binding site characteristics in structure-based virtual screening: evaluation of current docking tools.

Authors:  Tanja Schulz-Gasch; Martin Stahl
Journal:  J Mol Model       Date:  2003-01-14       Impact factor: 1.810

8.  Computational studies of new potential antimalarial compounds--stereoelectronic complementarity with the receptor.

Authors:  César Portela; Carlos M M Afonso; Madalena M M Pinto; Maria João Ramos
Journal:  J Comput Aided Mol Des       Date:  2003-09       Impact factor: 3.686

Review 9.  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

10.  MG-2477, a new tubulin inhibitor, induces autophagy through inhibition of the Akt/mTOR pathway and delayed apoptosis in A549 cells.

Authors:  Giampietro Viola; Roberta Bortolozzi; Ernest Hamel; Stefano Moro; Paola Brun; Ignazio Castagliuolo; Maria Grazia Ferlin; Giuseppe Basso
Journal:  Biochem Pharmacol       Date:  2011-09-22       Impact factor: 5.858

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