Name
Abstract | ||
|---|---|---|
Caspases belong to a unique class of cysteine proteases which function as critical effectors of apoptosis, inflammation and other important cellular processes. Caspases cleave substrates at specific tetrapeptide sites after a highly conserved aspartic acid residue. Prediction of such cleavage sites will complement structural and functional studies on substrates cleavage as well as discovery of new substrates. We have recently developed a support vector machines (SVM) method to address this issue. Our algorithm achieved an accuracy ranging from 81.25 to 97.92, making it one of the best methods currently available. CASVM is the web server implementation of our SVM algorithms, written in Perl and hosted on a Linux platform. The server can be used for predicting non-canonical caspase substrate cleavage sites. We have also included a relational database containing experimentally verified caspase substrates retrievable using accession IDs, keywords or sequence similarity. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1093/bioinformatics/btm334 | BIOINFORMATICS |
Field | DocType | Volume |
Data mining,Cleave,Relational database,Computer science,Support vector machine,Tetrapeptide,Bioinformatics,Caspase,Perl,Web server,Cleavage (embryo) | Journal | 23 |
Issue | ISSN | Citations |
23 | 1367-4803 | 5 |
PageRank | References | Authors |
0.46 | 6 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lawrence J. K. Wee | 1 | 37 | 1.55 |
| Tin Wee Tan | 2 | 566 | 36.14 |
| Shoba Ranganathan | 3 | 689 | 36.60 |