ASAP J. Proteome Res., ASAP Article, 10.1021/pr700858e
Web Release Date: July 22, 2008

Copyright © 2008 American Chemical Society

An Optimized Predictive Strategy for Interactome Mapping

Martin J. A. Aryee and John Quackenbush*§

Department of Biostatistics, Harvard School of Public Health, 655 Huntington Avenue, Boston, Massachusetts 02115, and Department of Biostatistics and Computational Biology and Department of Cancer Biology, Dana-Farber Cancer Institute, 44 Binney Street, Boston, Massachusetts 02115

Received August 1, 2007

Abstract:

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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