Functional classification of protein structures by local structure matching in graph representation.

ABSTRACT: As a result of high-throughput protein structure initiatives, over 14,400 protein structures have been solved by Structural Genomics (SG) centers and participating research groups. While the totality of SG data represents a tremendous contribution to genomics and structural biology, reliable functional information for these proteins is generally lacking. Better functional predictions for SG proteins will add substantial value to the structural information already obtained. Our method described herein, Graph Representation of Active Sites for Prediction of Function (GRASP-Func), predicts quickly and accurately the biochemical function of proteins by representing residues at the predicted local active site as graphs rather than in Cartesian coordinates. We compare the GRASP-Func method to ou

SUBMITTER: Mills CL 

PROVIDER: S-EPMC5980557 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature