Docking by structural similarity at protein‐protein interfaces

Rapid accumulation of experimental data on protein‐protein complexes drives the paradigm shift in protein docking from “traditional,” template free approaches to template based techniques. Homology docking algorithms based on sequence similarity between target and template complexes can account for up to 20% of known protein‐protein interactions. When highly homologous templates for the target complex are not available, but the structure of the target monomers is known, docking by local structural alignment may provide an adequate solution. Such an algorithm was developed based on the structural comparison of monomers to cocrystallized interfaces. A library of the interfaces was generated from cocrystallized protein‐protein complexes in PDB. The partial structure alignment algorithm was validated on the DOCKGROUND benchmark sets. The optimal performance of the partial (interface) structure alignment was achieved with the interface residues defined by 12 Å distance across the interface. Overall, the partial structure alignment yielded more accurate models than the full structure alignment. Most templates identified by the partial structure alignment had low sequence identity to the target, which makes them hard to detect by sequence‐based methods. The results indicate that the structure alignment techniques provide a much needed addition to the docking arsenal, with the combined structure alignment and template free docking success rate significantly surpassing that of the free docking alone. Proteins 2010. © 2010 Wiley‐Liss, Inc.

[1]  R. Russell,et al.  Structural systems biology: modelling protein interactions , 2006, Nature Reviews Molecular Cell Biology.

[2]  Andrey Tovchigrechko,et al.  The size of the intermolecular energy funnel in protein–protein interactions , 2008, Proteins.

[3]  Andrey Tovchigrechko,et al.  GRAMM-X public web server for protein–protein docking , 2006, Nucleic Acids Res..

[4]  김삼묘,et al.  “Bioinformatics” 특집을 내면서 , 2000 .

[5]  Arun K. Ramani,et al.  Protein interaction networks from yeast to human. , 2004, Current opinion in structural biology.

[6]  J. Skolnick,et al.  TM-align: a protein structure alignment algorithm based on the TM-score , 2005, Nucleic acids research.

[7]  Dominique Douguet,et al.  DOCKGROUND resource for studying protein-protein interfaces , 2006, Bioinform..

[8]  Yang Zhang,et al.  Scoring function for automated assessment of protein structure template quality , 2004, Proteins.

[9]  J. Piehler New methodologies for measuring protein interactions in vivo and in vitro. , 2005, Current opinion in structural biology.

[10]  Stephen R. Comeau,et al.  PIPER: An FFT‐based protein docking program with pairwise potentials , 2006, Proteins.

[11]  Ilya A Vakser,et al.  Predicting 3D structures of protein-protein complexes. , 2008, Current pharmaceutical biotechnology.

[12]  Andreas Hoppe,et al.  Docking without docking: ISEARCH—prediction of interactions using known interfaces , 2007, Proteins.

[13]  Rodrigo Lopez,et al.  Clustal W and Clustal X version 2.0 , 2007, Bioinform..

[14]  Hui Lu,et al.  MULTIPROSPECTOR: An algorithm for the prediction of protein–protein interactions by multimeric threading , 2002, Proteins.

[15]  Ozlem Keskin,et al.  PRISM: protein-protein interaction prediction by structural matching. , 2008, Methods in molecular biology.

[16]  Ariel S. Schwartz,et al.  Cost effective strategies for completing the Interactome , 2008, Nature Methods.

[17]  Frank Alber,et al.  A structural perspective on protein-protein interactions. , 2004, Current opinion in structural biology.

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

[19]  Z. Weng,et al.  Integrating statistical pair potentials into protein complex prediction , 2007, Proteins.

[20]  Dominique Douguet,et al.  DOCKGROUND system of databases for protein recognition studies: Unbound structures for docking , 2007, Proteins.

[21]  A. Bonvin,et al.  WHISCY: What information does surface conservation yield? Application to data‐driven docking , 2006, Proteins.