About CRP

Catalytic Residue Prediction is a web service that identify potentially active sites in enzymes.

Method

Support Vector Machines (SVM) were used to automatically produce annotation of homologous and nonhomologous catalitic residue positions in enzymes based on a specific training set of residue functions. The methods evaluate features like sequence, sequence alignments, three-dimensional structure, and structural environment conservation and providing a rank for their ability to discriminate catalytic from noncatalytic residues.
This method is maintained at the Buck Institute for Age Research in the Laboratory of Sean Mooney

Citing This Web Site

Youn, E, Peters, B, Radivojac, P, Mooney SD. "Evaluation of Features for Catalytic Residue Prediction in Novel Folds" Protein science Science 16(2):216-26.

Supported By

The work is funded by:

• NIH K22LM009135 (PI: Mooney)
• NIH 1R01LM009722 (PI: Mooney)
• Indiana Genomics Initiative. The Indiana Genomics Initiative (INGEN) is supported in part by Lily Endowment.

Contact Us

Dr. Sean Mooney
Associate Professor and Director of Bioinformatics
Buck Institute for Age Research
8001 Redwood Blvd.
Novato, CA 94945
Email: smooney@buckinstitute.org
Web: http://www.buckinstitute.org/TheScience/TheMooney