Automated method for predicting enzyme functional surfaces and locating key residues with accuracy and specificity.
Locating functionally important protein surfaces and identifying the catalytic site residues are critical for studying enzyme functions. Here, we present methods for predicting and characterizing catalytic sites of enzymes at atomic level that is fold-independent. By extract atomic patterns of catalytic residues in surface pockets computed geometrically, we develop a library of atomic patterns on protein functional surfaces of ca 700 structures. Together with propensities of secondary structures and residue occurrence in active sites, we develop methods to identify functionally important surfaces on protein structures and to locate key residues. We discuss application of our methods to amylase, dioxygenase, deaminase, dehalogenase, and hydratase. A large scale cross-validated prediction study shows that our method is sensitive and specific.
Tseng
Yan Yuan
YY
Dept. of Bioeng., Illinois Univ., Chicago, IL 60607-7052, USA.
Liang
Jie
J
D000465:Algorithms; D000619:Aminohydrolases / Q000737:chemistry; D000681:Amylases / Q000737:chemistry; D001331:Automation; D002384:Catalysis; D019295:Computational Biology / Q000379:methods*; D030562:Databases, Protein; D049308:Dioxygenases / Q000737:chemistry; D004798:Enzymes / Q000737:chemistry*; D006867:Hydrolases / Q000737:chemistry; D010363:Pattern Recognition, Automated; D017510:Protein Folding; D017433:Protein Structure, Secondary; D040901:Proteomics / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D020539:Sequence Analysis, Protein
D004798:Enzymes; D049308:Dioxygenases; D006867:Hydrolases; D000681:Amylases; D000619:Aminohydrolases