Toward more accurate prediction of caspase cleavage sites: a comprehensive review of current methods, tools and features.

Bao, Yu; Marini, Simone; Tamura, Takeyuki; Kamada, Mayumi; Maegawa, Shingo; Hosokawa, Hiroshi; Song, Jiangning; Akutsu, Tatsuya

Bao, Yu; Marini, Simone; Tamura, Takeyuki; Kamada, Mayumi; Maegawa, Shingo; Hosokawa, Hiroshi; Song, Jiangning; Akutsu, Tatsuya.

Afiliação

Bao Y; Bioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Kyoto 611-0011, Japan.
Marini S; Department of Computational Medicine and Bioinformatics, University of Michigan, 1241 E. Catherine St., 5940 Buhl, Ann Arbor 48109-5618, USA.
Tamura T; Bioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Kyoto 611-0011, Japan.
Kamada M; Graduate School of Medicine, Kyoto University, Sakyo-ku, Kyoto 606-8507, Japan.
Maegawa S; Graduate School of Informatics, Kyoto University, Sakyo-ku, Kyoto 606-8501, Japan.
Hosokawa H; Graduate School of Informatics, Kyoto University, Sakyo-ku, Kyoto 606-8501, Japan.
Song J; Monash Biomedicine Discovery Institute, Monash Centre for Data Science and ARC Centre of Excellence in Advance Molecular Imaging, Monash University, Melbourne, VIC 3800, Australia.
Akutsu T; Bioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Kyoto 611-0011, Japan.

Brief Bioinform ; 20(5): 1669-1684, 2019 09 27.

Article em En | MEDLINE | ID: mdl-29860277

Assuntos

Caspases/metabolismo; Humanos; Proteólise; Especificidade por Substrato

Palavras-chave

caspase; cleavage sites; prediction tool

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Caspases Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article

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