PRODIGY: a web server for predicting the binding affinity of protein-protein complexes

被引：788

作者：

Xue, Li C. ^{[1
]}

Rodrigues, Joao P. G. L. M. ^{[1
,2
]}

Kastritis, Panagiotis L. ^{[1
,3
]}

Bonvin, Alexandre M. J. J. ^{[1
]}

Vangone, Anna ^{[1
]}

机构：

[1] Univ Utrecht, Fac Sci, Bijvoet Ctr Biomol Res, Dept Chem,Computat Struct Biol Grp, NL-3584 CH Utrecht, Netherlands

[2] Stanford Univ, Sch Med, Dept Biol Struct, Stanford, CA 94305 USA

[3] European Mol Biol Lab, Struct & Computat Biol Unit, Heidelberg, Germany

来源：

BIOINFORMATICS | 2016年 / 32卷 / 23期

关键词：

D O I：

10.1093/bioinformatics/btw514

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Gaining insights into the structural determinants of protein-protein interactions holds the key for a deeper understanding of biological functions, diseases and development of therapeutics. An important aspect of this is the ability to accurately predict the binding strength for a given protein-protein complex. Here we present PROtein binDIng enerGY prediction (PRODIGY), a web server to predict the binding affinity of protein-protein complexes from their 3D structure. The PRODIGY server implements our simple but highly effective predictive model based on intermolecular contacts and properties derived from non-interface surface.

引用

页码：3676 / 3678

页数：3

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