Computing highly correlated positions using mutual information and graph theory for G protein-coupled receptors.

ABSTRACT: G protein-coupled receptors (GPCRs) are a superfamily of seven transmembrane-spanning proteins involved in a wide array of physiological functions and are the most common targets of pharmaceuticals. This study aims to identify a cohort or clique of positions that share high mutual information. Using a multiple sequence alignment of the transmembrane (TM) domains, we calculated the mutual information between all inter-TM pairs of aligned positions and ranked the pairs by mutual information. A mutual information graph was constructed with vertices that corresponded to TM positions and edges between vertices were drawn if the mutual information exceeded a threshold of statistical significance. Positions with high degree (i.e. had significant mutual information with a large number of other pos

SUBMITTER: Fatakia SN 

PROVIDER: S-EPMC2650788 | biostudies-literature | 2009

REPOSITORIES: biostudies-literature