An Optimized Predictive Strategy for Interactome Mapping | Zendy

Martin J. Aryee | Zendy; John Quackenbush | Zendy

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An Optimized Predictive Strategy for Interactome Mapping

Author(s) -

Martin J. Aryee,

John Quackenbush

Publication year - 2008

Publication title -

journal of proteome research

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.644

H-Index - 161

eISSN - 1535-3907

pISSN - 1535-3893

DOI - 10.1021/pr700858e

Subject(s) - interactome , computer science , pairwise comparison , data mining , machine learning , artificial intelligence , biology , biochemistry , gene

We present an optimized experimental strategy that can accelerate progress toward identifying the majority of pairwise protein interactions. Our method involves applying a predictive algorithm, based on the existing data, to identify protein pairs likely to interact and prioritizing these for screening. The approach is iterative as additional data allows one to refine predictions directing the next stage of experimentation.

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