protein recognition;
protein modeling;
bioinformatics;
structure prediction;
structural templates;
BINDING-SITES;
3D STRUCTURES;
CLUSTAL-W;
PREDICTION;
INTERFACES;
ALGORITHM;
ALIGNMENT;
SEQUENCE;
D O I:
10.1002/prot.24392
中图分类号:
Q5 [生物化学];
Q7 [分子生物学];
学科分类号:
071010 ;
081704 ;
摘要:
The increasing amount of structural information on protein-protein interactions makes it possible to predict the structure of protein-protein complexes by comparison/alignment of the interacting proteins to the ones in cocrystallized complexes. In the predictions based on structure similarity, the template search is performed by structural alignment of the target interactors with the entire structures or with the interface only of the subunits in cocrystallized complexes. This study investigates the scope of the structural similarity that facilitates the detection of a broad range of templates significantly divergent from the targets. The analysis of the target-template similarity is based on models of protein-protein complexes in a large representative set of heterodimers. The similarity of the biological and crystal packing interfaces, dissimilar interface structural motifs in overall similar structures, interface similarity to the full structure, and local similarity away from the interface were analyzed. The structural similarity at the protein-protein interfaces only was observed in approximate to 25% of target-template pairs with sequence identity <20% and primarily homodimeric templates. For approximate to 50% of the target-template pairs, the similarity at the interface was accompanied by the similarity of the whole structure. However, the structural similarity at the interfaces was still stronger than that of the noninterface parts. The study provides insights into structural and functional diversity of protein-protein complexes, and relative performance of the interface and full structure alignment in docking. Proteins 2013; 81:2137-2142. (c) 2013 Wiley Periodicals, Inc.
机构:
Univ Calif Davis, Genome Ctr, Davis, CA 95616 USAUniv Lille, CNRS, UMR8576, UGSF, F-59000 Lille, France
Kryshtafovych, Andriy
Huang, Shen-You
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机构:
Univ Missouri, Res Support Comp, Bioinformat Consortium, Columbia, MO 65211 USA
Univ Missouri, Dept Comp Sci, Columbia, MO 65211 USAUniv Lille, CNRS, UMR8576, UGSF, F-59000 Lille, France
Huang, Shen-You
Schneidman-Duhovny, Dina
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机构:
Univ Calif San Francisco, Dept Bioengn & Therapeut Sci, San Francisco, CA 94158 USA
Univ Calif San Francisco, Dept Pharmaceut Chem, San Francisco, CA 94158 USAUniv Lille, CNRS, UMR8576, UGSF, F-59000 Lille, France
Schneidman-Duhovny, Dina
Sali, Andrej
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机构:
Univ Calif San Francisco, Dept Bioengn & Therapeut Sci, San Francisco, CA 94158 USA
Univ Calif San Francisco, Dept Pharmaceut Chem, San Francisco, CA 94158 USA
Univ Calif San Francisco, Calif Inst Quantitat Biosci QB3, San Francisco, CA 94158 USAUniv Lille, CNRS, UMR8576, UGSF, F-59000 Lille, France
Sali, Andrej
Segura, Joan
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机构:
CSIC, Natl Ctr Biotechnol, GN7, Natl Inst Bioinformat INB, Madrid 28049, Spain
CSIC, Natl Ctr Biotechnol, Biocomp Unit, Madrid 28049, SpainUniv Lille, CNRS, UMR8576, UGSF, F-59000 Lille, France
机构:
Iowa State Univ, Dept Comp Sci, Ames, IA 50011 USA
Pontificia Univ Javeriana, Dept Syst & Comp Engn, Cali, ColombiaIowa State Univ, Dept Comp Sci, Ames, IA 50011 USA
Jordan, Rafael A.
EL-Manzalawy, Yasser
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机构:
Iowa State Univ, Dept Comp Sci, Ames, IA 50011 USA
Al Azhar Univ, Dept Syst & Comp Engn, Cairo, EgyptIowa State Univ, Dept Comp Sci, Ames, IA 50011 USA
EL-Manzalawy, Yasser
Dobbs, Drena
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机构:
Iowa State Univ, Dept Genet Dev & Cell Biol, Ames, IA 50011 USA
Iowa State Univ, Bioinformat & Computat Biol Program, Ames, IA 50011 USAIowa State Univ, Dept Comp Sci, Ames, IA 50011 USA