Literature DB >> 17803239

Docking of protein molecular surfaces with evolutionary trace analysis.

Eiji Kanamori1, Yoichi Murakami, Yuko Tsuchiya, Daron M Standley, Haruki Nakamura, Kengo Kinoshita.   

Abstract

We have developed a new method to predict protein- protein complexes based on the shape complementarity of the molecular surfaces, along with sequence conservation obtained by evolutionary trace (ET) analysis. The docking is achieved by optimization of an object function that evaluates the degree of shape complementarity weighted by the conservation of the interacting residues. The optimization is carried out using a genetic algorithm in combination with Monte Carlo sampling. We applied this method to CAPRI targets and evaluated the performance systematically. Consequently, our method could achieve native-like predictions in several cases. In addition, we have analyzed the feasibility of the ET method for docking simulations, and found that the conservation information was useful only in a limited category of proteins (signal related proteins and enzymes). (c) 2007 Wiley-Liss, Inc.

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Year:  2007        PMID: 17803239     DOI: 10.1002/prot.21737

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


  7 in total

1.  Accurate Prediction of Docked Protein Structure Similarity.

Authors:  Bahar Akbal-Delibas; Marc Pomplun; Nurit Haspel
Journal:  J Comput Biol       Date:  2015-09       Impact factor: 1.479

2.  Molecular bases of cyclic and specific disulfide interchange between human ERO1alpha protein and protein-disulfide isomerase (PDI).

Authors:  Shoji Masui; Stefano Vavassori; Claudio Fagioli; Roberto Sitia; Kenji Inaba
Journal:  J Biol Chem       Date:  2011-03-11       Impact factor: 5.157

3.  Classification of heterodimer interfaces using docking models and construction of scoring functions for the complex structure prediction.

Authors:  Yuko Tsuchiya; Eiji Kanamori; Haruki Nakamura; Kengo Kinoshita
Journal:  Adv Appl Bioinform Chem       Date:  2009-09-22

4.  HopDock: a probabilistic search algorithm for decoy sampling in protein-protein docking.

Authors:  Irina Hashmi; Amarda Shehu
Journal:  Proteome Sci       Date:  2013-11-07       Impact factor: 2.480

5.  Algorithmic approaches to protein-protein interaction site prediction.

Authors:  Tristan T Aumentado-Armstrong; Bogdan Istrate; Robert A Murgita
Journal:  Algorithms Mol Biol       Date:  2015-02-15       Impact factor: 1.405

6.  Generating triangulated macromolecular surfaces by Euclidean Distance Transform.

Authors:  Dong Xu; Yang Zhang
Journal:  PLoS One       Date:  2009-12-02       Impact factor: 3.240

7.  Joint evolutionary trees: a large-scale method to predict protein interfaces based on sequence sampling.

Authors:  Stefan Engelen; Ladislas A Trojan; Sophie Sacquin-Mora; Richard Lavery; Alessandra Carbone
Journal:  PLoS Comput Biol       Date:  2009-01-23       Impact factor: 4.475

  7 in total

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