Literature DB >> 8950278

Hydrogen bonding and molecular surface shape complementarity as a basis for protein docking.

M Meyer1, P Wilson, D Schomburg.   

Abstract

A geometric docking algorithm based upon correlation analysis for quantification of geometric complementarity between protein molecular surfaces in close interfacial contact has been developed by a detailed optimization of the conformational search of the algorithm. In order to reduce the entire conformation space search required by the method a physico-chemical pre-filter of conformation space has been developed based upon the a priori assumption that two or more intermolecular hydrogen bonds are intrinsic to the mechanism of binding within protein complexes. Donor sites are defined spatially and directionally by the positions of explicitly calculated donor hydrogen atoms, and the vector space within a defined range about the donor atom-hydrogen atom bond vector. Acceptor sites are represented spatially and directionally by the van der Waals molecular surface points having normal vectors within a predefined range of vector space about the acceptor atom covalent bond vector(s). Geometric conditions necessary for the simultaneous hydrogen bonding interaction between both sites of functionally congruent hydrogen bonding site pairs, located on the individual proteins, are then tested on the basis of a transformation invariant parameterization of the site pair spatial and directional properties. Sterically acceptable conformations defined by interaction of functionally, spatially, and directionally compatible site pairs are then refined to a maximum contact of complementary contact surfaces using the simplex method for the angular search and correlation techniques for the translational search. The utility of the spatial and directional properties of hydrogen bonding donor and acceptor sites for the identification of candidate docking conformations is demonstrated by the reliable preliminary reduction of conformation space, the improved geometric ranking of the minimum RMS conformations of some complexes and the overall reduction of CPU time obtained.

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Year:  1996        PMID: 8950278     DOI: 10.1006/jmbi.1996.0634

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


  20 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.  Structure prediction of protein complexes by an NMR-based protein docking algorithm.

Authors:  O Kohlbache; A Burchardt; A Moll; A Hildebrandt; P Bayer; H P Lenhof
Journal:  J Biomol NMR       Date:  2001-05       Impact factor: 2.835

3.  Electrostatics in protein-protein docking.

Authors:  Alexander Heifetz; Ephraim Katchalski-Katzir; Miriam Eisenstein
Journal:  Protein Sci       Date:  2002-03       Impact factor: 6.725

4.  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

5.  Protein-protein docking with a reduced protein model accounting for side-chain flexibility.

Authors:  Martin Zacharias
Journal:  Protein Sci       Date:  2003-06       Impact factor: 6.725

6.  Fitting multimeric protein complexes into electron microscopy maps using 3D Zernike descriptors.

Authors:  Juan Esquivel-Rodríguez; Daisuke Kihara
Journal:  J Phys Chem B       Date:  2012-03-30       Impact factor: 2.991

7.  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

8.  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

9.  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

10.  Reciprocal regulation of glutathione S-transferase spliceforms and the Drosophila c-Jun N-terminal kinase pathway components.

Authors:  Rungrutai Udomsinprasert; Marie A Bogoyevitch; Albert J Ketterman
Journal:  Biochem J       Date:  2004-11-01       Impact factor: 3.857

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