Literature DB >> 7739053

A geometry-based suite of molecular docking processes.

D Fischer1, S L Lin, H L Wolfson, R Nussinov.   

Abstract

We have developed a geometry-based suite of processes for molecular docking. The suite consists of a molecular surface representation, a docking algorithm, and a surface inter-penetration and contact filter. The surface representation is composed of a sparse set of critical points (with their associated normals) positioned at the face centers of the molecular surface, providing a concise yet representative set. The docking algorithm is based on the Geometric Hashing technique, which indexes the critical points with their normals in a transformation invariant fashion preserving the multi-element geometric constraints. The inter-penetration and surface contact filter features a three-layer scoring system, through which docked models with high contact area and low clashes are funneled. This suite of processes enables a pipelined operation of molecular docking with high efficacy. Accurate and fast docking has been achieved with a rich collection of complexes and unbound molecules, including protein-protein and protein-small molecule associations. An energy evaluation routine assesses the intermolecular interactions of the funneled models obtained from the docking of the bound molecules by pairwise van der Waals and Coulombic potentials. Applications of this routine demonstrate the goodness of the high scoring, geometrically docked conformations of the bound crystal complexes.

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Year:  1995        PMID: 7739053     DOI: 10.1016/s0022-2836(95)80063-8

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


  35 in total

Review 1.  Folding funnels, binding funnels, and protein function.

Authors:  C J Tsai; S Kumar; B Ma; R Nussinov
Journal:  Protein Sci       Date:  1999-06       Impact factor: 6.725

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.  MCDOCK: a Monte Carlo simulation approach to the molecular docking problem.

Authors:  M Liu; S Wang
Journal:  J Comput Aided Mol Des       Date:  1999-09       Impact factor: 3.686

4.  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

5.  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

6.  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

7.  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

8.  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

9.  Protein-Protein Docking Using EMAP in CHARMM and Support Vector Machine: Application to Ab/Ag Complexes.

Authors:  Jon D Wright; Karen Sargsyan; Xiongwu Wu; Bernard R Brooks; Carmay Lim
Journal:  J Chem Theory Comput       Date:  2013-08-16       Impact factor: 6.006

10.  ProPose: a docking engine based on a fully configurable protein-ligand interaction model.

Authors:  Markus H J Seifert; Frank Schmitt; Thomas Herz; Bernd Kramer
Journal:  J Mol Model       Date:  2004-10-08       Impact factor: 1.810

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