Literature DB >> 1920412

Protein docking and complementarity.

B K Shoichet1, I D Kuntz.   

Abstract

Predicting the structures of protein-protein complexes is a difficult problem owing to the topographical and thermodynamic complexity of these structures. Past efforts in this area have focussed on fitting the interacting proteins together using rigid body searches, usually with the conformations of the proteins as they occur in crystal structure complexes. Here we present work which uses a rigid body docking method to generate the structures of three known protein complexes, using both the bound and unbound conformations of the interacting molecules. In all cases we can regenerate the geometry of the crystal complexes to high accuracy. We also are able to find geometries that do not resemble the crystal structure but nevertheless are surprisingly reasonable both mechanistically and by some simple physical criteria. In contrast to previous work in this area, we find that simple methods for evaluating the complementarity at the protein-protein interface cannot distinguish between the configurations that resemble the crystal structure complex and those that do not. Methods that could not distinguish between such similar and dissimilar configurations include surface area burial, solvation free energy, packing and mechanism-based filtering. Evaluations of the total interaction energy and the electrostatic interaction energy of the complexes were somewhat better. Of the techniques that we tried, energy minimization distinguished most clearly between the "true" and "false" positives, though even here the energy differences were surprisingly small. We found the lowest total interaction energy from amongst all of the putative complexes generated by docking was always within 5 A root-mean-square of the crystallographic structure. There were, however, several putative complexes that were very dissimilar to the crystallographic structure but had energies that were close to that of the low energy structure. The magnitude of the error in energy calculations has not been established in macromolecular systems, and thus the reliability of the small differences in energy remains to be determined. The ability of this docking method to regenerate the crystallographic configurations of the interacting proteins using their unbound conformations suggests that it will be a useful tool in predicting the structures of unsolved complexes.

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Year:  1991        PMID: 1920412     DOI: 10.1016/0022-2836(91)80222-g

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


  44 in total

1.  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

2.  Mimicking dominant negative inhibition of prion replication through structure-based drug design.

Authors:  V Perrier; A C Wallace; K Kaneko; J Safar; S B Prusiner; F E Cohen
Journal:  Proc Natl Acad Sci U S A       Date:  2000-05-23       Impact factor: 11.205

3.  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

4.  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

5.  Protein-protein docking with multiple residue conformations and residue substitutions.

Authors:  David M Lorber; Maria K Udo; Brian K Shoichet
Journal:  Protein Sci       Date:  2002-06       Impact factor: 6.725

6.  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

7.  Molecular surface recognition: determination of geometric fit between proteins and their ligands by correlation techniques.

Authors:  E Katchalski-Katzir; I Shariv; M Eisenstein; A A Friesem; C Aflalo; I A Vakser
Journal:  Proc Natl Acad Sci U S A       Date:  1992-03-15       Impact factor: 11.205

8.  Free energy landscapes of encounter complexes in protein-protein association.

Authors:  C J Camacho; Z Weng; S Vajda; C DeLisi
Journal:  Biophys J       Date:  1999-03       Impact factor: 4.033

9.  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

10.  DOCK 6: Impact of new features and current docking performance.

Authors:  William J Allen; Trent E Balius; Sudipto Mukherjee; Scott R Brozell; Demetri T Moustakas; P Therese Lang; David A Case; Irwin D Kuntz; Robert C Rizzo
Journal:  J Comput Chem       Date:  2015-06-05       Impact factor: 3.376

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