Protein-Protein Binding Site Prediction by Local Structural Alignment

被引：12

作者：

Carl, Nejc ^{[1
]}

Konc, Janez ^{[1
]}

Vehar, Blaz ^{[1
]}

Janezic, Dusanka ^{[1
,2
]}

机构：

[1] Natl Inst Chem, SI-1000 Ljubljana, Slovenia

[2] Univ Primorska, Fac Math Nat Sci & Informat Technol, SI-6000 Koper, Slovenia

来源：

JOURNAL OF CHEMICAL INFORMATION AND MODELING | 2010年 / 50卷 / 10期

关键词：

WEB SERVER; CONSERVATION; RECOGNITION; INTERFACES; COMPLEXES; ALGORITHM; RESIDUES; SEQUENCE; PROBIS;

D O I：

10.1021/ci100265x

中图分类号：

R914 [药物化学];

学科分类号：

100701 ;

摘要：

Generalization of an earlier algorithm has led to the development of new local structural alignment algorithms for prediction of protein-protein binding sites. The algorithms use maximum cliques on protein graphs to define structurally similar protein regions. The search for structural neighbors in the new algorithms has been extended to all the proteins in the PDB and the query protein is compared to more than 60 000 proteins or over 300 000 single-chain structures. The resulting structural similarities are combined and used to predict the protein binding sites. This study shows that the location of protein binding sites can be predicted by comparing only local structural similarities irrespective of general protein folds.

引用

收藏

页码：1906 / 1913

页数：8

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