Protein-protein docking: overview and performance analysis.

Protein-protein docking is the computational prediction of protein complex structure given the individually solved component protein structures. It is an important means for understanding the physicochemical forces that underlie macromolecular interactions and a valuable tool for modeling protein complex structures. Here, we report an overview of protein-protein docking with specific emphasis on our Fast Fourier Transform-based rigid-body docking program ZDOCK, which is consistently rated as one of the most accurate docking programs in the Critical Assessment of Predicted Interactions (CAPRI), a series of community-wide blind tests. We also investigate ZDOCK's performance on a non-redundant protein complex benchmark. Finally, we perform regression analysis to better understand the strengths and weaknesses of ZDOCK and to suggest areas of future development for protein-docking algorithms in general.

[1]  Sandor Vajda,et al.  Classification of protein complexes based on docking difficulty , 2005, Proteins.

[2]  Zhiping Weng,et al.  M-ZDOCK: a grid-based approach for Cn symmetric multimer docking , 2005, Bioinform..

[3]  Li Li,et al.  RDOCK: Refinement of rigid‐body protein docking predictions , 2003, Proteins.

[4]  I. Vakser Protein docking for low-resolution structures. , 1995, Protein engineering.

[5]  Ilya A Vakser,et al.  Development and testing of an automated approach to protein docking , 2005, Proteins.

[6]  L. Krippahl,et al.  BiGGER: A new (soft) docking algorithm for predicting protein interactions , 2000, Proteins.

[7]  T. N. Bhat,et al.  The Protein Data Bank , 2000, Nucleic Acids Res..

[8]  J M Blaney,et al.  A geometric approach to macromolecule-ligand interactions. , 1982, Journal of molecular biology.

[9]  Eleanor J. Gardiner,et al.  Protein docking using a genetic algorithm , 2001, Proteins.

[10]  L. T. Ten Eyck,et al.  Protein docking using continuum electrostatics and geometric fit. , 2001, Protein engineering.

[11]  Zhiping Weng,et al.  A protein–protein docking benchmark , 2003, Proteins.

[12]  R. Nussinov,et al.  A geometry-based suite of molecular docking processes. , 1995, Journal of molecular biology.

[13]  Z. Weng,et al.  ZDOCK: An initial‐stage protein‐docking algorithm , 2003, Proteins.

[14]  Z. Weng,et al.  A novel shape complementarity scoring function for protein‐protein docking , 2003, Proteins.

[15]  Z. Weng,et al.  Optimizing protein representations with information theory. , 2004, Genome informatics. International Conference on Genome Informatics.

[16]  R. Laskowski SURFNET: a program for visualizing molecular surfaces, cavities, and intermolecular interactions. , 1995, Journal of molecular graphics.

[17]  Z. Weng,et al.  Protein–protein docking benchmark 2.0: An update , 2005, Proteins.

[18]  M. Sternberg,et al.  An analysis of conformational changes on protein-protein association: implications for predictive docking. , 1999, Protein engineering.

[19]  B. Rost,et al.  Critical assessment of methods of protein structure prediction (CASP)—Round 6 , 2005 .

[20]  A G Murzin,et al.  SCOP: a structural classification of proteins database for the investigation of sequences and structures. , 1995, Journal of molecular biology.

[21]  Dima Kozakov,et al.  Optimal clustering for detecting near-native conformations in protein docking. , 2005, Biophysical journal.

[22]  Sandor Vajda,et al.  ClusPro: an automated docking and discrimination method for the prediction of protein complexes , 2004, Bioinform..

[23]  David S. Goodsell,et al.  Automated docking using a Lamarckian genetic algorithm and an empirical binding free energy function , 1998, J. Comput. Chem..

[24]  Sandor Vajda,et al.  CAPRI: A Critical Assessment of PRedicted Interactions , 2003, Proteins.

[25]  E. Katchalski‐Katzir,et al.  Molecular surface recognition: determination of geometric fit between proteins and their ligands by correlation techniques. , 1992, Proceedings of the National Academy of Sciences of the United States of America.

[26]  C. DeLisi,et al.  Determination of atomic desolvation energies from the structures of crystallized proteins. , 1997, Journal of molecular biology.

[27]  Jeffrey J. Gray,et al.  Protein-protein docking with simultaneous optimization of rigid-body displacement and side-chain conformations. , 2003, Journal of molecular biology.

[28]  M. Karplus,et al.  CHARMM: A program for macromolecular energy, minimization, and dynamics calculations , 1983 .

[29]  W. Delano The PyMOL Molecular Graphics System , 2002 .

[30]  Roland L. Dunbrack,et al.  Backbone-dependent rotamer library for proteins. Application to side-chain prediction. , 1993, Journal of molecular biology.

[31]  Ruth Nussinov,et al.  PatchDock and SymmDock: servers for rigid and symmetric docking , 2005, Nucleic Acids Res..

[32]  M. Sternberg,et al.  Modelling protein docking using shape complementarity, electrostatics and biochemical information. , 1997, Journal of molecular biology.

[33]  C. Dominguez,et al.  HADDOCK: a protein-protein docking approach based on biochemical or biophysical information. , 2003, Journal of the American Chemical Society.

[34]  D. Ritchie,et al.  Protein docking using spherical polar Fourier correlations , 2000, Proteins.

[35]  Yuhua Duan,et al.  Physicochemical and residue conservation calculations to improve the ranking of protein–protein docking solutions , 2005, Protein science : a publication of the Protein Society.

[36]  Zhiping Weng,et al.  Docking unbound proteins using shape complementarity, desolvation, and electrostatics , 2002, Proteins.

[37]  Ruben Abagyan,et al.  ICM—A new method for protein modeling and design: Applications to docking and structure prediction from the distorted native conformation , 1994, J. Comput. Chem..