Ontology highlight
ABSTRACT:
SUBMITTER: Brodkin HR
PROVIDER: S-EPMC4420525 | biostudies-literature | 2015 May
REPOSITORIES: biostudies-literature
Brodkin Heather R HR DeLateur Nicholas A NA Somarowthu Srinivas S Mills Caitlyn L CL Novak Walter R WR Beuning Penny J PJ Ringe Dagmar D Ondrechen Mary Jo MJ
Protein science : a publication of the Protein Society 20150402 5
A scoring method for the prediction of catalytically important residues in enzyme structures is presented and used to examine the participation of distal residues in enzyme catalysis. Scores are based on the Partial Order Optimum Likelihood (POOL) machine learning method, using computed electrostatic properties, surface geometric features, and information obtained from the phylogenetic tree as input features. Predictions of distal residue participation in catalysis are compared with experimental ...[more]