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Computational Large‐Scale Mapping of Protein‐Protein Interactions Using Structural Complexes
Author(s) -
Shoemaker Benjamin,
Wuchty Stefan,
Panchenko Anna R.
Publication year - 2013
Publication title -
current protocols in protein science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.409
H-Index - 32
eISSN - 1934-3663
pISSN - 1934-3655
DOI - 10.1002/0471140864.ps0309s73
Subject(s) - interactome , computational biology , protein–protein interaction , computer science , false positive paradox , identification (biology) , scale (ratio) , biology , gene , genetics , machine learning , physics , botany , quantum mechanics
Although the identification of protein interactions by high‐throughput methods progresses at a fast pace, “interactome” datasets still suffer from high rates of false positives and low coverage. To map the interactome of any organism, this unit presents a computational framework to predict protein‐protein or gene‐gene interactions utilizing experimentally determined evidence of structural complexes, atomic details of binding interfaces and evolutionary conservation. Curr. Protoc. Protein Sci . 73:3.9.1‐3.9.9. © 2013 by John Wiley & Sons, Inc.

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