Interaction-site prediction for protein complexes: a critical assessment

MOTIVATION Proteins function through interactions with other proteins and biomolecules. Protein-protein interfaces hold key information toward molecular understanding of protein function. In the past few years, there have been intensive efforts in developing methods for predicting protein interface residues. A review that presents the current status of interface prediction and an overview of its applications and project future developments is in order. SUMMARY Interface prediction methods rely on a wide range of sequence, structural and physical attributes that distinguish interface residues from non-interface surface residues. The input data are manipulated into either a numerical value or a probability representing the potential for a residue to be inside a protein interface. Predictions are now satisfactory for complex-forming proteins that are well represented in the Protein Data Bank, but less so for under-represented ones. Future developments will be directed at tackling problems such as building structural models for multi-component structural complexes.

[1]  Richard M. Jackson,et al.  Predicting protein interaction sites: binding hot-spots in protein-protein and protein-ligand interfaces , 2006, Bioinform..

[2]  Chad A Brautigam,et al.  Structural insight into interactions between dihydrolipoamide dehydrogenase (E3) and E3 binding protein of human pyruvate dehydrogenase complex. , 2006, Structure.

[3]  David Reverter,et al.  Insights into E3 ligase activity revealed by a SUMO–RanGAP1–Ubc9–Nup358 complex , 2005, Nature.

[4]  Liangjiang Wang,et al.  BindN: a web-based tool for efficient prediction of DNA and RNA binding sites in amino acid sequences , 2006, Nucleic Acids Res..

[5]  Ruben Abagyan,et al.  PIER: Protein interface recognition for structural proteomics , 2007, Proteins.

[6]  Vasant Honavar,et al.  Predicting binding sites of hydrolase-inhibitor complexes by combining several methods , 2004, BMC Bioinformatics.

[7]  Shandar Ahmad,et al.  Analysis and prediction of DNA-binding proteins and their binding residues based on composition, sequence and structural information , 2004, Bioinform..

[8]  R. Raz,et al.  ProMate: a structure based prediction program to identify the location of protein-protein binding sites. , 2004, Journal of molecular biology.

[9]  David R. Westhead,et al.  Improved prediction of protein-protein binding sites using a support vector machines approach. , 2005, Bioinformatics.

[10]  C. Chothia,et al.  The atomic structure of protein-protein recognition sites. , 1999, Journal of molecular biology.

[11]  Ruben Abagyan,et al.  Statistical analysis and prediction of protein–protein interfaces , 2005, Proteins.

[12]  De-Shuang Huang,et al.  Identifying protein-protein interfacial residues in heterocomplexes using residue conservation scores. , 2006, International journal of biological macromolecules.

[13]  A M J J Bonvin,et al.  Data‐driven docking: HADDOCK's adventures in CAPRI , 2005, Proteins.

[14]  Xiaolong Wang,et al.  Protein-protein interaction site prediction based on conditional random fields , 2007, Bioinform..

[15]  Adel Golovin,et al.  Cation–π interactions in protein–protein interfaces , 2005 .

[16]  J. Skolnick,et al.  On the origin and highly likely completeness of single-domain protein structures. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[17]  B. Rost,et al.  Predicted protein–protein interaction sites from local sequence information , 2003, FEBS letters.

[18]  C. Férec,et al.  Nucleotide binding domains of human CFTR: a structural classification of critical residues and disease-causing mutations. , 2005, Cellular and Molecular Life Sciences CMLS.

[19]  Seungwoo Hwang,et al.  Using evolutionary and structural information to predict DNA‐binding sites on DNA‐binding proteins , 2006, Proteins.

[20]  Aleksey A. Porollo,et al.  Prediction‐based fingerprints of protein–protein interactions , 2006, Proteins.

[21]  Itay Mayrose,et al.  ConSurf 2005: the projection of evolutionary conservation scores of residues on protein structures , 2005, Nucleic Acids Res..

[22]  D. Chuang,et al.  Structural Insight into Interactions between Dihydrolipoamide Dehydrogenase ( E 3 ) and E 3 Binding Protein of Human Pyruvate Dehydrogenase Complex , 2022 .

[23]  Harianto Tjong,et al.  PI2PE: protein interface/interior prediction engine , 2007, Nucleic Acids Res..

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

[25]  Song Liu,et al.  Protein binding site prediction using an empirical scoring function , 2006, Nucleic acids research.

[26]  Dietmar Schomburg,et al.  Refinement of unbound protein docking studies using biological knowledge , 2005, Proteins.

[27]  Tobias Müller,et al.  Modelling interaction sites in protein domains with interaction profile hidden Markov models , 2006, Bioinform..

[28]  S. Jones,et al.  Prediction of protein-protein interaction sites using patch analysis. , 1997, Journal of molecular biology.

[29]  Huan-Xiang Zhou,et al.  meta-PPISP: a meta web server for protein-protein interaction site prediction , 2007, Bioinform..

[30]  Huan‐Xiang Zhou Improving the understanding of human genetic diseases through predictions of protein structures and protein-protein interaction sites. , 2004, Current medicinal chemistry.

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

[32]  A. Bulpitt,et al.  Insights into protein-protein interfaces using a Bayesian network prediction method. , 2006, Journal of molecular biology.

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

[34]  Tom L Blundell,et al.  An algorithm for predicting protein–protein interaction sites: Abnormally exposed amino acid residues and secondary structure elements , 2006, Protein science : a publication of the Protein Society.

[35]  F. Cohen,et al.  An evolutionary trace method defines binding surfaces common to protein families. , 1996, Journal of molecular biology.

[36]  Harianto Tjong,et al.  DISPLAR: an accurate method for predicting DNA-binding sites on protein surfaces , 2007, Nucleic acids research.

[37]  P. Bourne,et al.  Exploiting sequence and structure homologs to identify protein–protein binding sites , 2005, Proteins.

[38]  J. Gonzalez,et al.  Scoring docking models with evolutionary information , 2005, Proteins.

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

[40]  Katja Nowick,et al.  Structure of the forkhead domain of FOXP2 bound to DNA. , 2006, Structure.

[41]  G. Diez-Roux,et al.  Ubiquitin-conjugating enzyme E2-25 kDa , 2007 .

[42]  Christian Cole,et al.  Side‐chain conformational entropy at protein–protein interfaces , 2002, Protein science : a publication of the Protein Society.

[43]  Susan Jones,et al.  SHARP2: protein-protein interaction predictions using patch analysis , 2006, Bioinform..

[44]  Michael J Parker,et al.  Mutations in LRP5 or FZD4 underlie the common familial exudative vitreoretinopathy locus on chromosome 11q. , 2004, American journal of human genetics.

[45]  Olivier Lichtarge,et al.  BIOINFORMATICS ORIGINAL PAPER Systems biology , 2004 .

[46]  Huan‐Xiang Zhou,et al.  Prediction of protein interaction sites from sequence profile and residue neighbor list , 2001, Proteins.

[47]  A. Valencia,et al.  Prediction of protein--protein interaction sites in heterocomplexes with neural networks. , 2002, European journal of biochemistry.

[48]  Huan-Xiang Zhou,et al.  Prediction of interface residues in protein–protein complexes by a consensus neural network method: Test against NMR data , 2005, Proteins.

[49]  R. Abagyan,et al.  Identification of protein-protein interaction sites from docking energy landscapes. , 2004, Journal of molecular biology.

[50]  Huan-Xiang Zhou,et al.  A holistic approach to protein docking , 2007, Proteins.

[51]  Juan Fernández-Recio,et al.  Efficient restraints for protein-protein docking by comparison of observed amino acid substitution patterns with those predicted from local environment. , 2006, Journal of molecular biology.

[52]  Peng Chen,et al.  Predicting protein interaction sites from residue spatial sequence profile and evolution rate , 2006, FEBS Letters.

[53]  B. Wang,et al.  Inferring protein-protein interacting sites using residue conservation and evolutionary information. , 2006, Protein and peptide letters.

[54]  T. Takagi,et al.  Prediction of protein-protein interaction sites using support vector machines. , 2004, Protein engineering, design & selection : PEDS.

[55]  Vasant Honavar,et al.  Identification of interface residues in protease-inhibitor and antigen-antibody complexes: a support vector machine approach , 2004, Neural Computing & Applications.