Structure-based prediction of protein–protein interactions on a genome-wide scale

Qiangfeng Cliff Zhang, Donald Petrey, Lei Deng, Li Qiang, Yu Shi, Chan Aye Thu, Brygida Bisikirska, Celine Lefebvre, Domenico Accili, Tony Hunter, Tom Maniatis, Andrea Califano () and Barry Honig ()
Additional contact information
Qiangfeng Cliff Zhang: Howard Hughes Medical Institute, Columbia University
Donald Petrey: Howard Hughes Medical Institute, Columbia University
Lei Deng: Columbia University
Li Qiang: Naomi Berrie Diabetes Center, College of Physicians & Surgeons of Columbia University
Yu Shi: Molecular and Cell Biology Laboratory, The Salk Institute for Biological Studies
Chan Aye Thu: Columbia University
Brygida Bisikirska: Center for Computational Biology and Bioinformatics, Columbia Initiative in Systems Biology, Columbia University
Celine Lefebvre: Center for Computational Biology and Bioinformatics, Columbia Initiative in Systems Biology, Columbia University
Domenico Accili: Naomi Berrie Diabetes Center, College of Physicians & Surgeons of Columbia University
Tony Hunter: Molecular and Cell Biology Laboratory, The Salk Institute for Biological Studies
Tom Maniatis: Columbia University
Andrea Califano: Columbia University
Barry Honig: Howard Hughes Medical Institute, Columbia University

Nature, 2012, vol. 490, issue 7421, 556-560

Abstract: Protein–protein interactions, essential for understanding how a cell functions, are predicted using a new method that combines protein structure with other computationally and experimentally derived clues.

Date: 2012
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DOI: 10.1038/nature11503

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