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CASVM: Server for SVM Prediction of Caspase Substrates Cleavage Sites

Introduction

CASVM (version 1.0) is a web server for predicting caspase cleavage sites on protein sequences based on the SVM algorithms developed by Wee et al. CASVM is updated regularly with newly discovered caspase substrates which can be retrieved from the substrates database. Caspases (for cysteine aspartate proteases) belong to a family of cysteine proteases that serve as important effectors of apoptosis, inflammation and other critical cellular processes. These proteases are unique among mammalian proteases as they cleave substrates after an aspartate residue at sites bearing signature tetrapeptide motifs (learn more about caspases).


(A simplified model of caspase-dependent apoptosis. From Hengartner, 2000)

Citation

Please cite the following articles for results obtained from this server:

  1. Lawrence JK Wee, Tin Wee Tan and Shoba Ranganathan, SVM-based prediction of caspase substrate cleavage sites, BMC Bioinformatics 2006, 7(Suppl 5):S14.
  2. Lawrence JK Wee, Tin Wee Tan and Shoba Ranganathan, CASVM: Server for SVM-based prediction of caspase substrate cleavage sites, unpublished results.

Funding support from the Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore to LJK Wee (lawrence@bic.nus.edu.sg) is acknowledged.

Server was lasted updated on 31 Jan 2007.