Literature DB >> 12784377

Protein-protein docking predictions for the CAPRI experiment.

Jeffrey J Gray1, Stewart E Moughon, Tanja Kortemme, Ora Schueler-Furman, Kira M S Misura, Alexandre V Morozov, David Baker.   

Abstract

We predicted structures for all seven targets in the CAPRI experiment using a new method in development at the time of the challenge. The technique includes a low-resolution rigid body Monte Carlo search followed by high-resolution refinement with side-chain conformational changes and rigid body minimization. Decoys (approximately 10(6) per target) were discriminated using a scoring function including van der Waals and solvation interactions, hydrogen bonding, residue-residue pair statistics, and rotamer probabilities. Decoys were ranked, clustered, manually inspected, and selected. The top ranked model for target 6 predicted the experimental structure to 1.5 A RMSD and included 48 of 65 correct residue-residue contacts. Target 7 was predicted at 5.3 A RMSD with 22 of 37 correct residue-residue contacts using a homology model from a known complex structure. Using a preliminary version of the protocol in round 1, target 1 was predicted within 8.8 A although few contacts were correct. For targets 2 and 3, the interface locations and a small fraction of the contacts were correctly identified. Copyright 2003 Wiley-Liss, Inc.

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Year:  2003        PMID: 12784377     DOI: 10.1002/prot.10384

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


  44 in total

1.  A generalized approach to sampling backbone conformations with RosettaDock for CAPRI rounds 13-19.

Authors:  Aroop Sircar; Sidhartha Chaudhury; Krishna Praneeth Kilambi; Monica Berrondo; Jeffrey J Gray
Journal:  Proteins       Date:  2010-11-15

2.  An accurate, residue-level, pair potential of mean force for folding and binding based on the distance-scaled, ideal-gas reference state.

Authors:  Chi Zhang; Song Liu; Hongyi Zhou; Yaoqi Zhou
Journal:  Protein Sci       Date:  2004-02       Impact factor: 6.725

3.  Computational approaches to protein-protein interaction.

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

4.  A new hydrogen-bonding potential for the design of protein-RNA interactions predicts specific contacts and discriminates decoys.

Authors:  Yu Chen; Tanja Kortemme; Tim Robertson; David Baker; Gabriele Varani
Journal:  Nucleic Acids Res       Date:  2004-09-30       Impact factor: 16.971

5.  Solution X-ray scattering combined with computational modeling reveals multiple conformations of covalently bound ubiquitin on PCNA.

Authors:  Susan E Tsutakawa; Adam W Van Wynsberghe; Bret D Freudenthal; Christopher P Weinacht; Lokesh Gakhar; M Todd Washington; Zhihao Zhuang; John A Tainer; Ivaylo Ivanov
Journal:  Proc Natl Acad Sci U S A       Date:  2011-10-17       Impact factor: 11.205

6.  New compstatin variants through two de novo protein design frameworks.

Authors:  M L Bellows; H K Fung; M S Taylor; C A Floudas; A López de Victoria; D Morikis
Journal:  Biophys J       Date:  2010-05-19       Impact factor: 4.033

7.  Discovery of entry inhibitors for HIV-1 via a new de novo protein design framework.

Authors:  M L Bellows; M S Taylor; P A Cole; L Shen; R F Siliciano; H K Fung; C A Floudas
Journal:  Biophys J       Date:  2010-11-17       Impact factor: 4.033

Review 8.  The neuronal porosome complex in health and disease.

Authors:  Akshata R Naik; Kenneth T Lewis; Bhanu P Jena
Journal:  Exp Biol Med (Maywood)       Date:  2015-08-11

9.  New algorithms and an in silico benchmark for computational enzyme design.

Authors:  Alexandre Zanghellini; Lin Jiang; Andrew M Wollacott; Gong Cheng; Jens Meiler; Eric A Althoff; Daniela Röthlisberger; David Baker
Journal:  Protein Sci       Date:  2006-12       Impact factor: 6.725

Review 10.  Progress towards recombinant anti-infective antibodies.

Authors:  Jennifer C Pai; Jamie N Sutherland; Jennifer A Maynard
Journal:  Recent Pat Antiinfect Drug Discov       Date:  2009-01
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