Genome-wide inference of protein interaction sites: lessons from the yeast high-quality negative protein-protein interaction dataset.

ABSTRACT: High-throughput studies of protein interactions may have produced, experimentally and computationally, the most comprehensive protein-protein interaction datasets in the completely sequenced genomes. It provides us an opportunity on a proteome scale, to discover the underlying protein interaction patterns. Here, we propose an approach to discovering motif pairs at interaction sites (often 3-8 residues) that are essential for understanding protein functions and helpful for the rational design of protein engineering and folding experiments. A gold standard positive (interacting) dataset and a gold standard negative (non-interacting) dataset were mined to infer the interacting motif pairs that are significantly overrepresented in the positive dataset compared to the negative dataset. Four neg

SUBMITTER: Guo J 

PROVIDER: S-EPMC2346601 | biostudies-literature | 2008 Apr

REPOSITORIES: biostudies-literature