C10Pred: A First Machine Learning Based Tool to Predict C10 Family Cysteine Peptidases Using Sequence-Derived Features.

Malik, Adeel; Mahajan, Nitin; Dar, Tanveer Ali; Kim, Chang-Bae

Malik, Adeel; Mahajan, Nitin; Dar, Tanveer Ali; Kim, Chang-Bae.

Affiliation

Malik A; Institute of Intelligence Informatics Technology, Sangmyung University, Seoul 03016, Korea.
Mahajan N; Department of Pediatrics, Washington University in St. Louis, St. Louis, MO 63110, USA.
Dar TA; Department of Clinical Biochemistry, University of Kashmir, Srinagar 190006, India.
Kim CB; Department of Biotechnology, Sangmyung University, Seoul 03016, Korea.

Int J Mol Sci ; 23(17)2022 Aug 23.

Article in En | MEDLINE | ID: mdl-36076915

Subject(s)

Cysteine Proteases; Cysteine; Machine Learning; Proteins; Support Vector Machine

Key words

Boruta; C10 family; cysteine peptidase; feature selection; machine learning; streptopain; support vector machine

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cysteine / Cysteine Proteases Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Int J Mol Sci Year: 2022 Type: Article

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