Literature DB >> 12784368

Assessment of blind predictions of protein-protein interactions: current status of docking methods.

Raúl Méndez1, Raphaël Leplae, Leonardo De Maria, Shoshana J Wodak.   

Abstract

The current status of docking procedures for predicting protein-protein interactions starting from their three-dimensional structure is assessed from a first major evaluation of blind predictions. This evaluation was performed as part of a communitywide experiment on Critical Assessment of PRedicted Interactions (CAPRI). Seven newly determined structures of protein-protein complexes were available as targets for this experiment. These were the complexes between a kinase and its protein substrate, between a T-cell receptor beta-chain and a superantigen, and five antigen-antibody complexes. For each target, the predictors were given the experimental structures of the free components, or of one free and one bound component in a random orientation. The structure of the complex was revealed only at the time of the evaluation. A total of 465 predictions submitted by 19 groups were evaluated. These groups used a wide range of algorithms and scoring functions, some of which were completely novel. The quality of the predicted interactions was evaluated by comparing residue-residue contacts and interface residues to those in the X-ray structures and by analyzing the fit of the ligand molecules (the smaller of the two proteins in the complex) or of interface residues only, in the predicted versus target complexes. A total of 14 groups produced predictions, ranking from acceptable to highly accurate for five of the seven targets. The use of available biochemical and biological information, and in one instance structural information, played a key role in achieving this result. It was essential for identifying the native binding modes for the five correctly predicted targets, including the kinase-substrate complex where the enzyme changes conformation on association. But it was also the cause for missing the correct solution for the two remaining unpredicted targets, which involve unexpected antigen-antibody binding modes. Overall, this analysis reveals genuine progress in docking procedures but also illustrates the remaining serious limitations and points out the need for better scoring functions and more effective ways for handling conformational flexibility. Copyright 2003 Wiley-Liss, Inc.

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Year:  2003        PMID: 12784368     DOI: 10.1002/prot.10393

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  143 in total

1.  Macromolecular docking restrained by a small angle X-ray scattering profile.

Authors:  Dina Schneidman-Duhovny; Michal Hammel; Andrej Sali
Journal:  J Struct Biol       Date:  2010-10-12       Impact factor: 2.867

2.  Surface-histogram: a new shape descriptor for protein-protein docking.

Authors:  Shengyin Gu; Patrice Koehl; Joel Hass; Nina Amenta
Journal:  Proteins       Date:  2011-11-09

3.  HPr kinase/phosphorylase, the sensor enzyme of catabolite repression in Gram-positive bacteria: structural aspects of the enzyme and the complex with its protein substrate.

Authors:  Sylvie Nessler; Sonia Fieulaine; Sandrine Poncet; Anne Galinier; Josef Deutscher; Joël Janin
Journal:  J Bacteriol       Date:  2003-07       Impact factor: 3.490

4.  Computational approaches to protein-protein interaction.

Authors:  Giacomo Franzot; Oliviero Carugo
Journal:  J Struct Funct Genomics       Date:  2003

5.  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

6.  Automatic prediction of flexible regions improves the accuracy of protein-protein docking models.

Authors:  Xiaohu Luo; Qiang Lü; Hongjie Wu; Lingyun Yang; Xu Huang; Peide Qian; Gang Fu
Journal:  J Mol Model       Date:  2011-09-27       Impact factor: 1.810

7.  Protein-protein docking benchmark version 4.0.

Authors:  Howook Hwang; Thom Vreven; Joël Janin; Zhiping Weng
Journal:  Proteins       Date:  2010-11-15

8.  Prediction of protein-protein interaction sites using electrostatic desolvation profiles.

Authors:  Sébastien Fiorucci; Martin Zacharias
Journal:  Biophys J       Date:  2010-05-19       Impact factor: 4.033

9.  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

10.  Structural insights into the interaction of blood coagulation co-factor VIIIa with factor IXa: a computational protein-protein docking and molecular dynamics refinement study.

Authors:  Divi Venkateswarlu
Journal:  Biochem Biophys Res Commun       Date:  2014-08-23       Impact factor: 3.575

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