Protein interface conservation across structure space

被引:122
作者
Zhang, Qiangfeng Cliff [1 ]
Petrey, Donald [1 ]
Norel, Raquel [1 ]
Honig, Barry H. [1 ]
机构
[1] Columbia Univ, Howard Hughes Med Inst, Dept Biochem & Mol Biophys, Ctr Computat Biol & Bioinformat, New York, NY 10032 USA
基金
美国国家卫生研究院;
关键词
BINDING SITE PREDICTION; DOMAIN INTERACTIONS; COMPLEXES; SEQUENCES; ANNOTATION; DIVERGENCE; SIMILARITY; GEOMETRY; PROGRAM;
D O I
10.1073/pnas.1005894107
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
With the advent of Systems Biology, the prediction of whether two proteins form a complex has become a problem of increased importance. A variety of experimental techniques have been applied to the problem, but three-dimensional structural information has not been widely exploited. Here we explore the range of applicability of such information by analyzing the extent to which the location of binding sites on protein surfaces is conserved among structural neighbors. We find, as expected, that interface conservation is most significant among proteins that have a clear evolutionary relationship, but that there is a significant level of conservation even among remote structural neighbors. This finding is consistent with recent evidence that information available from structural neighbors, independent of classification, should be exploited in the search for functional insights. The value of such structural information is highlighted through the development of a new protein interface prediction method, PredUs, that identifies what residues on protein surfaces are likely to participate in complexes with other proteins. The performance of PredUs, as measured through comparisons with other methods, suggests that relationships across protein structure space can be successfully exploited in the prediction of protein-protein interactions.
引用
收藏
页码:10896 / 10901
页数:6
相关论文
共 38 条
[1]   Structure-based assembly of protein complexes in yeast [J].
Aloy, P ;
Böttcher, B ;
Ceulemans, H ;
Leutwein, C ;
Mellwig, C ;
Fischer, S ;
Gavin, AC ;
Bork, P ;
Superti-Furga, G ;
Serrano, L ;
Russell, RB .
SCIENCE, 2004, 303 (5666) :2026-2029
[2]   The relationship between sequence and interaction divergence in proteins [J].
Aloy, P ;
Ceulemans, H ;
Stark, A ;
Russell, RB .
JOURNAL OF MOLECULAR BIOLOGY, 2003, 332 (05) :989-998
[3]   Data growth and its impact on the SCOP database: new developments [J].
Andreeva, Antonina ;
Howorth, Dave ;
Chandonia, John-Marc ;
Brenner, Steven E. ;
Hubbard, Tim J. P. ;
Chothia, Cyrus ;
Murzin, Alexey G. .
NUCLEIC ACIDS RESEARCH, 2008, 36 :D419-D425
[4]   The geometry of domain combination in proteins [J].
Bashton, M ;
Chothia, C .
JOURNAL OF MOLECULAR BIOLOGY, 2002, 315 (04) :927-939
[5]   A threading-based method (FINDSITE) for ligand-binding site prediction and functional annotation [J].
Brylinski, Michal ;
Skolnick, Jeffrey .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2008, 105 (01) :129-134
[6]   Prediction of interface residues in protein-protein complexes by a consensus neural network method: Test against NMR data [J].
Chen, HL ;
Zhou, HX .
PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS, 2005, 61 (01) :21-35
[7]   Protein complex compositions predicted by structural similarity [J].
Davis, Fred P. ;
Braberg, Hannes ;
Shen, Min-Yi ;
Pieper, Ursula ;
Sali, Andrei ;
Madhusudhan, M. S. .
NUCLEIC ACIDS RESEARCH, 2006, 34 (10) :2943-2952
[8]   High-throughput two-hybrid analysis [J].
Fields, S .
FEBS JOURNAL, 2005, 272 (21) :5391-5399
[9]   Fragnostic: walking through protein structure space [J].
Friedberg, I ;
Godzik, A .
NUCLEIC ACIDS RESEARCH, 2005, 33 :W249-W251
[10]   Connecting the protein structure universe by using sparse recurring fragments [J].
Friedberg, I ;
Godzik, A .
STRUCTURE, 2005, 13 (08) :1213-1224