Literature DB >> 9514757

An example of a protein ligand found by database mining: description of the docking method and its verification by a 2.3 A X-ray structure of a thrombin-ligand complex.

P Burkhard1, P Taylor, M D Walkinshaw.   

Abstract

A computer program (SANDOCK) has been developed for the automated docking of small ligands to a target protein. It uses a guided matching algorithm to fit ligand atoms into the protein binding pocket. The protein is described by a modified Lee-Richard's dotted surface with each dot coded by chemical property and accessibility. Orientations of the ligand in the active site are generated such that a chemical and a shape complementary between the ligand and the active site cavity have to be fulfilled. The generated fits are evaluated with scoring functions which account for van der Waals, hydrophobic and hydrogen bonding interactions. This newly developed docking program can efficiently screen very large databases in a reasonable time and has been used to successfully identify novel ligands. The X-ray structure of a thrombin-ligand complex predicted by SANDOCK is described. The ligand binds to thrombin with a Kd of 65 microM and has an rmsd of 0.7 A for all ligand atoms from the predicted binding mode by SANDOCK. Copyright 1998 Academic Press Limited.

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Year:  1998        PMID: 9514757     DOI: 10.1006/jmbi.1997.1608

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  7 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.  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

Review 3.  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

4.  Quantitative characterization of protein tertiary motifs.

Authors:  Rajani R Joshi; S Sreenath
Journal:  J Mol Model       Date:  2014-01-26       Impact factor: 1.810

Review 5.  Molecular docking: a powerful approach for structure-based drug discovery.

Authors:  Xuan-Yu Meng; Hong-Xing Zhang; Mihaly Mezei; Meng Cui
Journal:  Curr Comput Aided Drug Des       Date:  2011-06       Impact factor: 1.606

Review 6.  Docking screens: right for the right reasons?

Authors:  Peter Kolb; John J Irwin
Journal:  Curr Top Med Chem       Date:  2009       Impact factor: 3.295

7.  Sanjeevini: a freely accessible web-server for target directed lead molecule discovery.

Authors:  B Jayaram; Tanya Singh; Goutam Mukherjee; Abhinav Mathur; Shashank Shekhar; Vandana Shekhar
Journal:  BMC Bioinformatics       Date:  2012-12-13       Impact factor: 3.169

  7 in total

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