Towards a better understanding of the specificity of protein-protein interaction

被引:7
|
作者
Kysilka, Jiri [1 ,2 ]
Vondrasek, Jiri [1 ,3 ]
机构
[1] Acad Sci Czech Republic, Inst Organ Chem & Biochem, CR-16610 Prague 6, Czech Republic
[2] Charles Univ Prague, Fac Nat Sci, Prague 12000 2, Czech Republic
[3] Acad Sci Czech Republic, Inst Biotechnol, Prague 14200 4, Czech Republic
关键词
protein-protein interaction; molecular recognition; x-ray structure analysis; empirical potentials; side chain-side chain interaction; interaction energy; bioinformatics; INTERACTION SITES; HOT-SPOTS; COMPUTATIONAL METHODS; DATA-BANK; RECOGNITION; INTERFACES; PREDICTION; COMPLEXES; RESIDUES; PROGRAMS;
D O I
10.1002/jmr.2219
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
In order to predict interaction interface for proteins, it is crucial to identify their characteristic features controlling the interaction process. We present analysis of 69 crystal structures of dimer protein complexes that provides a basis for reasonable description of the phenomenon. Interaction interfaces of two proteins at amino acids level were localized and described in terms of their chemical composition, binding preferences, and residue interaction energies utilizing Amber empirical force field. The characteristic properties of the interaction interface were compared against set of corresponding intramolecular binding parameters for amino acids in proteins. It has been found that geometrically distinct clusters of large hydrophobic amino acids (leucine, valine, isoleucine, and phenylalanine) as well as polar tyrosines and charged arginines are signatures of the proteinprotein interaction interface. At some extent, we can generalize that proteinprotein interaction (seen through interaction between amino acids) is very similar to the intramolecular arrangement of amino acids, although intermolecular pairs have generally lower interaction energies with their neighbors. Interfaces, therefore, possess high degree of complementarity suggesting also high selectivity of the process. The utilization of our results can improve interface prediction algorithms and improve our understanding of proteinprotein recognition. Copyright (c) 2012 John Wiley & Sons, Ltd.
引用
收藏
页码:604 / 615
页数:12
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