Computational identification of protein S-sulfenylation sites by incorporating the multiple sequence features information.

Hasan, Md Mehedi; Guo, Dianjing; Kurata, Hiroyuki

Hasan, Md Mehedi; Guo, Dianjing; Kurata, Hiroyuki.

Affiliation

Hasan MM; Department of Bioscience and Bioinformatics, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka, Fukuoka 820-8502, Japan. mehedicau@hotmail.com.

Mol Biosyst ; 13(12): 2545-2550, 2017 Nov 21.

Article in En | MEDLINE | ID: mdl-28990628

Subject(s)

Computational Biology/methods; Algorithms; Amino Acid Sequence; Humans; Position-Specific Scoring Matrices; Protein Processing, Post-Translational; Software; Support Vector Machine

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Computational Biology Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Mol Biosyst Journal subject: BIOLOGIA MOLECULAR / BIOQUIMICA Year: 2017 Document type: Article Affiliation country: Japan Country of publication: United kingdom

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