SVM-based prediction of caspase substrate cleavage sites

Lawrence J K Wee1, Tin Wee Tan, Shoba Ranganathan

  • 1Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore. lawrence@bic.nus.edu.sg

BMC Bioinformatics
|January 27, 2007
PubMed
Summary

This study introduces a Support Vector Machine (SVM) method to accurately predict caspase cleavage sites in proteins. The SVM approach improves upon existing methods for identifying these critical sites in apoptosis and inflammation.