FLORA: a novel method to predict protein function from structure in diverse superfamilies.

ABSTRACT: Predicting protein function from structure remains an active area of interest, particularly for the structural genomics initiatives where a substantial number of structures are initially solved with little or no functional characterisation. Although global structure comparison methods can be used to transfer functional annotations, the relationship between fold and function is complex, particularly in functionally diverse superfamilies that have evolved through different secondary structure embellishments to a common structural core. The majority of prediction algorithms employ local templates built on known or predicted functional residues. Here, we present a novel method (FLORA) that automatically generates structural motifs associated with different functional sub-families (FSGs) within

SUBMITTER: Redfern OC 

PROVIDER: S-EPMC2721411 | biostudies-literature | 2009 Aug

REPOSITORIES: biostudies-literature