Literature DB >> 11517309

Protein docking along smooth association pathways.

C J Camacho1, S Vajda.   

Abstract

We propose a docking method that mimics the way proteins bind. The method accounts for the dominant driving forces at the different length scales of the protein binding process, allowing for an efficient selection of a downhill path on the evolving receptor-ligand-free energy landscape. Starting from encounter complexes with as much as 10 A rms deviation from the native conformation, the method locally samples the six dimensional space of rigid-body receptor-ligand structures subject to a van der Waals constraint. The sampling is initially biased only by the desolvation and electrostatic components of the free energy, which capture the partial affinity of unbound structures that are more than 4 A away from the native state. Below this threshold, improved discrimination is attained by adding an increasing fraction of the van der Waals energy to the force field. The method, with no free parameters, was tested in eight different sets of independently crystallized receptor-ligand structures consistently predicting bound conformations with the lowest free energies and appropriate stability gap around 2 A from the native complex. This multistage approach is consistent with the underlying kinetics and internal structure of the free energy funnel to the bound state. Implications for the nature of the protein binding pathways are also discussed.

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Year:  2001        PMID: 11517309      PMCID: PMC58518          DOI: 10.1073/pnas.181147798

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  17 in total

1.  Dynamical view of the positions of key side chains in protein-protein recognition.

Authors:  S R Kimura; R C Brower; S Vajda; C J Camacho
Journal:  Biophys J       Date:  2001-02       Impact factor: 4.033

2.  A systematic study of low-resolution recognition in protein--protein complexes.

Authors:  I A Vakser; O G Matar; C F Lam
Journal:  Proc Natl Acad Sci U S A       Date:  1999-07-20       Impact factor: 11.205

3.  Kinetics of desolvation-mediated protein-protein binding.

Authors:  C J Camacho; S R Kimura; C DeLisi; S Vajda
Journal:  Biophys J       Date:  2000-03       Impact factor: 4.033

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Authors:  C Chothia; J Janin
Journal:  Nature       Date:  1975-08-28       Impact factor: 49.962

5.  Kinetics of protein-protein association explained by Brownian dynamics computer simulation.

Authors:  S H Northrup; H P Erickson
Journal:  Proc Natl Acad Sci U S A       Date:  1992-04-15       Impact factor: 11.205

Review 6.  Empirical potentials and functions for protein folding and binding.

Authors:  S Vajda; M Sippl; J Novotny
Journal:  Curr Opin Struct Biol       Date:  1997-04       Impact factor: 6.809

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Authors:  J Novotný; A A Rashin; R E Bruccoleri
Journal:  Proteins       Date:  1988

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Authors:  I A Vakser; C Aflalo
Journal:  Proteins       Date:  1994-12

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Authors:  G Schreiber; A R Fersht
Journal:  Nat Struct Biol       Date:  1996-05

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Authors:  J A McCammon; P G Wolynes; M Karplus
Journal:  Biochemistry       Date:  1979-03-20       Impact factor: 3.162

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  28 in total

1.  Modeling the structure of agitoxin in complex with the Shaker K+ channel: a computational approach based on experimental distance restraints extracted from thermodynamic mutant cycles.

Authors:  Mats A L Eriksson; Benoît Roux
Journal:  Biophys J       Date:  2002-11       Impact factor: 4.033

2.  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

3.  ClusPro: a fully automated algorithm for protein-protein docking.

Authors:  Stephen R Comeau; David W Gatchell; Sandor Vajda; Carlos J Camacho
Journal:  Nucleic Acids Res       Date:  2004-07-01       Impact factor: 16.971

4.  Anchor residues in protein-protein interactions.

Authors:  Deepa Rajamani; Spencer Thiel; Sandor Vajda; Carlos J Camacho
Journal:  Proc Natl Acad Sci U S A       Date:  2004-07-21       Impact factor: 11.205

5.  Optimal clustering for detecting near-native conformations in protein docking.

Authors:  Dima Kozakov; Karl H Clodfelter; Sandor Vajda; Carlos J Camacho
Journal:  Biophys J       Date:  2005-05-20       Impact factor: 4.033

6.  Energy landscape and transition state of protein-protein association.

Authors:  Ramzi Alsallaq; Huan-Xiang Zhou
Journal:  Biophys J       Date:  2006-12-01       Impact factor: 4.033

7.  Coarse-grained models for simulations of multiprotein complexes: application to ubiquitin binding.

Authors:  Young C Kim; Gerhard Hummer
Journal:  J Mol Biol       Date:  2007-11-28       Impact factor: 5.469

8.  Protein-protein docking with reduced potentials by exploiting multi-dimensional energy funnels.

Authors:  Ioannis Ch Paschalidis; Yang Shen; Pirooz Vakili; Sandor Vajda
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2006

9.  The ruggedness of protein-protein energy landscape and the cutoff for 1/r(n) potentials.

Authors:  Anatoly M Ruvinsky; Ilya A Vakser
Journal:  Bioinformatics       Date:  2009-02-23       Impact factor: 6.937

10.  A Subspace Semi-Definite programming-based Underestimation (SSDU) method for stochastic global optimization in protein docking.

Authors:  Feng Nan; Mohammad Moghadasi; Pirooz Vakili; Sandor Vajda; Dima Kozakov; Ioannis Ch Paschalidis
Journal:  Proc IEEE Conf Decis Control       Date:  2014-12
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