Literature DB >> 12761398

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

Martin Zacharias1.   

Abstract

A protein-protein docking approach has been developed based on a reduced protein representation with up to three pseudo atoms per amino acid residue. Docking is performed by energy minimization in rotational and translational degrees of freedom. The reduced protein representation allows an efficient search for docking minima on the protein surfaces within. During docking, an effective energy function between pseudo atoms has been used based on amino acid size and physico-chemical character. Energy minimization of protein test complexes in the reduced representation results in geometries close to experiment with backbone root mean square deviations (RMSDs) of approximately 1 to 3 A for the mobile protein partner from the experimental geometry. For most test cases, the energy-minimized experimental structure scores among the top five energy minima in systematic docking studies when using both partners in their bound conformations. To account for side-chain conformational changes in case of using unbound protein conformations, a multicopy approach has been used to select the most favorable side-chain conformation during the docking process. The multicopy approach significantly improves the docking performance, using unbound (apo) binding partners without a significant increase in computer time. For most docking test systems using unbound partners, and without accounting for any information about the known binding geometry, a solution within approximately 2 to 3.5 A RMSD of the full mobile partner from the experimental geometry was found among the 40 top-scoring complexes. The approach could be extended to include protein loop flexibility, and might also be useful for docking of modeled protein structures.

Mesh:

Substances:

Year:  2003        PMID: 12761398      PMCID: PMC2323887          DOI: 10.1110/ps.0239303

Source DB:  PubMed          Journal:  Protein Sci        ISSN: 0961-8368            Impact factor:   6.725


  44 in total

1.  Self-consistent estimation of inter-residue protein contact energies based on an equilibrium mixture approximation of residues.

Authors:  S Miyazawa; R L Jernigan
Journal:  Proteins       Date:  1999-01-01

2.  Use of pair potentials across protein interfaces in screening predicted docked complexes.

Authors:  G Moont; H A Gabb; M J Sternberg
Journal:  Proteins       Date:  1999-05-15

3.  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

4.  The atomic structure of protein-protein recognition sites.

Authors:  L Lo Conte; C Chothia; J Janin
Journal:  J Mol Biol       Date:  1999-02-05       Impact factor: 5.469

5.  Evaluation of GRAMM low-resolution docking methodology on the hemagglutinin-antibody complex.

Authors:  I A Vakser
Journal:  Proteins       Date:  1997

6.  Rapid refinement of protein interfaces incorporating solvation: application to the docking problem.

Authors:  R M Jackson; H A Gabb; M J Sternberg
Journal:  J Mol Biol       Date:  1998-02-13       Impact factor: 5.469

7.  Flexible ligand docking using conformational ensembles.

Authors:  D M Lorber; B K Shoichet
Journal:  Protein Sci       Date:  1998-04       Impact factor: 6.725

8.  ESCHER: a new docking procedure applied to the reconstruction of protein tertiary structure.

Authors:  G Ausiello; G Cesareni; M Helmer-Citterich
Journal:  Proteins       Date:  1997-08

9.  Modelling protein docking using shape complementarity, electrostatics and biochemical information.

Authors:  H A Gabb; R M Jackson; M J Sternberg
Journal:  J Mol Biol       Date:  1997-09-12       Impact factor: 5.469

10.  Comparison of protein-protein interactions in serine protease-inhibitor and antibody-antigen complexes: implications for the protein docking problem.

Authors:  R M Jackson
Journal:  Protein Sci       Date:  1999-03       Impact factor: 6.725

View more
  86 in total

1.  An accurate, residue-level, pair potential of mean force for folding and binding based on the distance-scaled, ideal-gas reference state.

Authors:  Chi Zhang; Song Liu; Hongyi Zhou; Yaoqi Zhou
Journal:  Protein Sci       Date:  2004-02       Impact factor: 6.725

Review 2.  Flexibility and binding affinity in protein-ligand, protein-protein and multi-component protein interactions: limitations of current computational approaches.

Authors:  Pierre Tuffery; Philippe Derreumaux
Journal:  J R Soc Interface       Date:  2011-10-12       Impact factor: 4.118

3.  Vibrational entropy and the structural organization of proteins.

Authors:  L Bongini; F Piazza; L Casetti; P De Los Rios
Journal:  Eur Phys J E Soft Matter       Date:  2010-09-18       Impact factor: 1.890

4.  dockYard--a repository to assist modeling of protein-protein docking.

Authors:  Pralay Mitra; Debnath Pal
Journal:  J Mol Model       Date:  2010-06-04       Impact factor: 1.810

5.  Functional modes and residue flexibility control the anisotropic response of guanylate kinase to mechanical stress.

Authors:  Sophie Sacquin-Mora; Olivier Delalande; Marc Baaden
Journal:  Biophys J       Date:  2010-11-17       Impact factor: 4.033

6.  Fold and flexibility: what can proteins' mechanical properties tell us about their folding nucleus?

Authors:  Sophie Sacquin-Mora
Journal:  J R Soc Interface       Date:  2015-11-06       Impact factor: 4.118

7.  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

8.  Cryo-EM Data Are Superior to Contact and Interface Information in Integrative Modeling.

Authors:  Sjoerd J de Vries; Isaure Chauvot de Beauchêne; Christina E M Schindler; Martin Zacharias
Journal:  Biophys J       Date:  2016-02-01       Impact factor: 4.033

9.  Improved side-chain modeling for protein-protein docking.

Authors:  Chu Wang; Ora Schueler-Furman; David Baker
Journal:  Protein Sci       Date:  2005-03-31       Impact factor: 6.725

10.  CIRSE: a solvation energy estimator compatible with flexible protein docking and design applications.

Authors:  David S Cerutti; Tushar Jain; J Andrew McCammon
Journal:  Protein Sci       Date:  2006-07       Impact factor: 6.725

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.