Literature DB >> 16208723

Refinement of unbound protein docking studies using biological knowledge.

Philipp Heuser1, Davide Baù, Pascal Benkert, Dietmar Schomburg.   

Abstract

In this work we present two methods for the reranking of protein-protein docking studies. One scoring method searches the InterDom database for domains that are available in the proteins to be docked and evaluates the interaction of these domains in other complexes of known structure. The second one analyzes the interface of each proposed conformation with regard to the conservation of Phe, Met, and Trp and their polar neighbor residues. The special relevance of these residues is based on a publication by Ma et al. (Proc Natl Acad Sci USA 2003;100:5772-5777), who compared the conservation of all residues in the interface region to the conservation on the rest of the protein's surface. The scoring functions were tested on 30 unbound docking test cases. The evaluation of the methods is based on the ability to rerank the output of a Fast Fourier Transformation (FFT) docking. Both were able to improve the ranking of the docking output. The best improvement was achieved for enzyme-inhibitor examples. Especially the domain-based scoring function was successful and able to place a near-native solution on one of the first six ranks for 13 of 17 (76%) enzyme-inhibitor complexes [in 53% (nine complexes) even on the first rank]. The method evaluating residue conservation allowed us to increase the number of good solutions within the first 100 ranks out of approximately 9000 in 82% of the 17 enzyme-inhibitor test cases, and for seven (41%) out of 17 enzyme-inhibitor complexes, a near native solution was placed within the first seven ranks. Proteins 2005. 2005 Wiley-Liss, Inc.

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Year:  2005        PMID: 16208723     DOI: 10.1002/prot.20634

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


  3 in total

1.  Consensus scoring for enriching near-native structures from protein-protein docking decoys.

Authors:  Shide Liang; Samy O Meroueh; Guangce Wang; Chao Qiu; Yaoqi Zhou
Journal:  Proteins       Date:  2009-05-01

2.  Protein docking prediction using predicted protein-protein interface.

Authors:  Bin Li; Daisuke Kihara
Journal:  BMC Bioinformatics       Date:  2012-01-10       Impact factor: 3.169

3.  Optimised amino acid specific weighting factors for unbound protein docking.

Authors:  Philipp Heuser; Dietmar Schomburg
Journal:  BMC Bioinformatics       Date:  2006-07-14       Impact factor: 3.169

  3 in total

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