Functional classification of CATH superfamilies: a domain-based approach for protein function annotation.

ABSTRACT:

Motivation

Computational approaches that can predict protein functions are essential to bridge the widening function annotation gap especially since <1.0% of all proteins in UniProtKB have been experimentally characterized. We present a domain-based method for protein function classification and prediction of functional sites that exploits functional sub-classification of CATH superfamilies. The superfamilies are sub-classified into functional families (FunFams) using a hierarchical clustering algorithm supervised by a new classification method, FunFHMMer.

Results

FunFHMMer generates more functionally coherent groupings of protein sequences than other domain-based protein classifications. This has been validated using known functional information. The conserved positions pre

SUBMITTER: Das S 

PROVIDER: S-EPMC4612221 | biostudies-literature | 2015 Nov

REPOSITORIES: biostudies-literature