Literature DB >> 18642945

An optimized predictive strategy for interactome mapping.

Martin J A Aryee1, John Quackenbush.   

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.

Mesh:

Substances:

Year:  2008        PMID: 18642945     DOI: 10.1021/pr700858e

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  1 in total

1.  New insights into protein-protein interaction data lead to increased estimates of the S. cerevisiae interactome size.

Authors:  Laure Sambourg; Nicolas Thierry-Mieg
Journal:  BMC Bioinformatics       Date:  2010-12-21       Impact factor: 3.169

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.