Literature DB >> 1602486

Docking by least-squares fitting of molecular surface patterns.

D J Bacon1, J Moult.   

Abstract

Molecular surfaces are fitted to each other by a new solution to the problem of docking a ligand into the active site of a protein molecule. The procedure constructs patterns of points on the surfaces and superimposes them upon each other using a least-squares best-fit algorithm. This brings the surfaces into contact and provides a direct measure of their local complementarity. The search over the ligand surface produces a large number of dockings, of which a small fraction having the best complementarity and the least steric hindrance are evaluated for electrostatic interaction energy. When applied to molecules taken from crystallographically observed complexes, this procedure consistently assigns the lowest electrostatic energies to correct dockings. On independently determined structures, the ability of the method to discern correct dockings depends on how much conformational difference there is between the free and complexed forms of the molecules. The procedure is found to be fast enough on contemporary workstation computers to permit many conformations to be considered, and tolerant enough to make rather coarse bond dihedral sampling a practicable way to overcome the problem of structural flexibility.

Mesh:

Substances:

Year:  1992        PMID: 1602486     DOI: 10.1016/0022-2836(92)90405-9

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


  18 in total

1.  Soft protein-protein docking in internal coordinates.

Authors:  Juan Fernández-Recio; Maxim Totrov; Ruben Abagyan
Journal:  Protein Sci       Date:  2002-02       Impact factor: 6.725

2.  A novel approach for assessing macromolecular complexes combining soft-docking calculations with NMR data.

Authors:  X J Morelli; P N Palma; F Guerlesquin; A C Rigby
Journal:  Protein Sci       Date:  2001-10       Impact factor: 6.725

3.  Electrostatic contributions to protein-protein interactions: fast energetic filters for docking and their physical basis.

Authors:  R Norel; F Sheinerman; D Petrey; B Honig
Journal:  Protein Sci       Date:  2001-11       Impact factor: 6.725

4.  Protein ligand docking based on empirical method for binding affinity estimation.

Authors:  P Tao; L Lai
Journal:  J Comput Aided Mol Des       Date:  2001-05       Impact factor: 3.686

5.  F2Dock: fast Fourier protein-protein docking.

Authors:  Chandrajit Bajaj; Rezaul Chowdhury; Vinay Siddavanahalli
Journal:  IEEE/ACM Trans Comput Biol Bioinform       Date:  2011 Jan-Mar       Impact factor: 3.710

6.  Prediction of protein complexes using empirical free energy functions.

Authors:  Z Weng; S Vajda; C Delisi
Journal:  Protein Sci       Date:  1996-04       Impact factor: 6.725

7.  Reaching the global minimum in docking simulations: a Monte Carlo energy minimization approach using Bezier splines.

Authors:  J Y Trosset; H A Scheraga
Journal:  Proc Natl Acad Sci U S A       Date:  1998-07-07       Impact factor: 11.205

8.  Flexible ligand docking using a genetic algorithm.

Authors:  C M Oshiro; I D Kuntz; J S Dixon
Journal:  J Comput Aided Mol Des       Date:  1995-04       Impact factor: 3.686

9.  BUILDER v.2: improving the chemistry of a de novo design strategy.

Authors:  D C Roe; I D Kuntz
Journal:  J Comput Aided Mol Des       Date:  1995-06       Impact factor: 3.686

10.  Cavities and packing at protein interfaces.

Authors:  S J Hubbard; P Argos
Journal:  Protein Sci       Date:  1994-12       Impact factor: 6.725

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