title: An optimized predictive strategy for interactome mapping.
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.
authors.affiliation: Department of Biostatistics, Harvard School of Public Health, 655 Huntington Avenue, Boston, Massachusetts 02115, USA.
authors.forename: Martin J A
authors.initials: MJ
authors.lastname: Aryee
authors.forename: John
authors.initials: J
authors.lastname: Quackenbush
mesh_terms: D000465:Algorithms; D011485:Protein Binding; D020543:Proteome; D020798:Two-Hybrid System Techniques
chemical_list: D020543:Proteome