Literature DB >> 15215358

ClusPro: a fully automated algorithm for protein-protein docking.

Stephen R Comeau1, David W Gatchell, Sandor Vajda, Carlos J Camacho.   

Abstract

ClusPro (http://nrc.bu.edu/cluster) represents the first fully automated, web-based program for the computational docking of protein structures. Users may upload the coordinate files of two protein structures through ClusPro's web interface, or enter the PDB codes of the respective structures, which ClusPro will then download from the PDB server (http://www.rcsb.org/pdb/). The docking algorithms evaluate billions of putative complexes, retaining a preset number with favorable surface complementarities. A filtering method is then applied to this set of structures, selecting those with good electrostatic and desolvation free energies for further clustering. The program output is a short list of putative complexes ranked according to their clustering properties, which is automatically sent back to the user via email.

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Mesh:

Year:  2004        PMID: 15215358      PMCID: PMC441492          DOI: 10.1093/nar/gkh354

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  28 in total

1.  The Protein Data Bank.

Authors:  H M Berman; J Westbrook; Z Feng; G Gilliland; T N Bhat; H Weissig; I N Shindyalov; P E Bourne
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  Dynamical view of the positions of key side chains in protein-protein recognition.

Authors:  S R Kimura; R C Brower; S Vajda; C J Camacho
Journal:  Biophys J       Date:  2001-02       Impact factor: 4.033

3.  Protein docking using continuum electrostatics and geometric fit.

Authors:  J G Mandell; V A Roberts; M E Pique; V Kotlovyi; J C Mitchell; E Nelson; I Tsigelny; L F Ten Eyck
Journal:  Protein Eng       Date:  2001-02

4.  Protein docking using spherical polar Fourier correlations.

Authors:  D W Ritchie; G J Kemp
Journal:  Proteins       Date:  2000-05-01

5.  Scoring docked conformations generated by rigid-body protein-protein docking.

Authors:  C J Camacho; D W Gatchell; S R Kimura; S Vajda
Journal:  Proteins       Date:  2000-08-15

Review 6.  Prediction of protein-protein interactions by docking methods.

Authors:  Graham R Smith; Michael J E Sternberg
Journal:  Curr Opin Struct Biol       Date:  2002-02       Impact factor: 6.809

Review 7.  Protein-protein association kinetics and protein docking.

Authors:  Carlos J Camacho; Sandor Vajda
Journal:  Curr Opin Struct Biol       Date:  2002-02       Impact factor: 6.809

8.  Protein docking along smooth association pathways.

Authors:  C J Camacho; S Vajda
Journal:  Proc Natl Acad Sci U S A       Date:  2001-08-21       Impact factor: 11.205

9.  Electrostatic contributions to protein-protein interactions: fast energetic filters for docking and their physical basis.

Authors:  R Norel; F Sheinerman; D Petrey; B Honig
Journal:  Protein Sci       Date:  2001-11       Impact factor: 6.725

10.  Use of pair potentials across protein interfaces in screening predicted docked complexes.

Authors:  G Moont; H A Gabb; M J Sternberg
Journal:  Proteins       Date:  1999-05-15
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  296 in total

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Journal:  J Comput Biol       Date:  2015-09       Impact factor: 1.479

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Journal:  Hum Mol Genet       Date:  2015-09-10       Impact factor: 6.150

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Authors:  Jordan L Woehl; Kasra X Ramyar; Benjamin B Katz; John K Walker; Brian V Geisbrecht
Journal:  Protein Sci       Date:  2017-05-31       Impact factor: 6.725

8.  Cofactors-loaded quaternary structure of lysine-specific demethylase 5C (KDM5C) protein: Computational model.

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Journal:  Proteins       Date:  2016-10-01

9.  Modeling oblong proteins and water-mediated interfaces with RosettaDock in CAPRI rounds 28-35.

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Journal:  Proteins       Date:  2016-10-24

10.  Extender Unit Promiscuity and Orthogonal Protein Interactions of an Aminomalonyl-ACP Utilizing Trans-Acyltransferase from Zwittermicin Biosynthesis.

Authors:  Samantha M Carpenter; Gavin J Williams
Journal:  ACS Chem Biol       Date:  2018-11-28       Impact factor: 5.100

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