Accurate protein structure annotation through competitive diffusion of enzymatic functions over a network of local evolutionary similarities.

ABSTRACT: High-throughput Structural Genomics yields many new protein structures without known molecular function. This study aims to uncover these missing annotations by globally comparing select functional residues across the structural proteome. First, Evolutionary Trace Annotation, or ETA, identifies which proteins have local evolutionary and structural features in common; next, these proteins are linked together into a proteomic network of ETA similarities; then, starting from proteins with known functions, competing functional labels diffuse link-by-link over the entire network. Every node is thus assigned a likelihood z-score for every function, and the most significant one at each node wins and defines its annotation. In high-throughput controls, this competitive diffusion process recovered

SUBMITTER: Venner E 

PROVIDER: S-EPMC3001439 | biostudies-literature | 2010 Dec

REPOSITORIES: biostudies-literature