Cascleave: towards more accurate prediction of caspase substrate cleavage sites | Zendy

Jiangning Song | Zendy; Hao Tan | Zendy; HongBin Shen | Zendy; Khalid Mahmood | Zendy; Sarah Boyd | Zendy; Geoffrey I. Webb | Zendy; Tatsuya Akutsu | Zendy; James C. Whisstock | Zendy

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Cascleave: towards more accurate prediction of caspase substrate cleavage sites

Author(s) -

Jiangning Song,

Hao Tan,

HongBin Shen,

Khalid Mahmood,

Sarah Boyd,

Geoffrey I. Webb,

Tatsuya Akutsu,

James C. Whisstock

Publication year - 2010

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btq043

Subject(s) - caspase , cleavage (geology) , proteases , computational biology , caspase 3 , chemistry , computer science , apoptosis , biology , programmed cell death , microbiology and biotechnology , biochemistry , enzyme , fracture (geology) , paleontology

The caspase family of cysteine proteases play essential roles in key biological processes such as programmed cell death, differentiation, proliferation, necrosis and inflammation. The complete repertoire of caspase substrates remains to be fully characterized. Accordingly, systematic computational screening studies of caspase substrate cleavage sites may provide insight into the substrate specificity of caspases and further facilitating the discovery of putative novel substrates.

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