A computational framework for boosting confidence in high-throughput protein-protein interaction datasets

作者：Hosur Raghavendra; Peng Jian; Vinayagam Arunachalam; Stelzl Ulrich; Xu Jinbo; Perrimon Norbert; Bienkowska Jadwiga^*; Berger Bonnie

来源：Genome Biology, 2012, 13(8): R76.

DOI：10.1186/gb-2012-13-8-r76

Improving the quality and coverage of the protein interactome is of tantamount importance for biomedical research, particularly given the various sources of uncertainty in high-throughput techniques. We introduce a structure-based framework, Coev2Net, for computing a single confidence score that addresses both false-positive and false-negative rates. Coev2Net is easily applied to thousands of binary protein interactions and has superior predictive performance over existing methods. We experimentally validate selected high-confidence predictions in the human MAPK network and show that predicted interfaces are enriched for cancer -related or damaging SNPs. Coev2Net can be downloaded at http:struct2net.csail.mit.edu.

• 出版日期2012
• 单位Biogen Idec