Incorporating hybrid models into lysine malonylation sites prediction on mammalian and plant proteins.

Chung, Chia-Ru; Chang, Ya-Ping; Hsu, Yu-Lin; Chen, Siyu; Wu, Li-Ching; Horng, Jorng-Tzong; Lee, Tzong-Yi

Chung, Chia-Ru; Chang, Ya-Ping; Hsu, Yu-Lin; Chen, Siyu; Wu, Li-Ching; Horng, Jorng-Tzong; Lee, Tzong-Yi.

Affiliation

Chung CR; Department of Computer Science and Information Engineering, National Central University, Taoyuan, 32001, Taiwan.
Chang YP; Department of Computer Science and Information Engineering, National Central University, Taoyuan, 32001, Taiwan.
Hsu YL; Department of Computer Science and Information Engineering, National Central University, Taoyuan, 32001, Taiwan.
Chen S; School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen, 518172, China.
Wu LC; Department of Biomedical Sciences and Engineering, National Central University, Taoyuan, 32001, Taiwan.
Horng JT; Department of Computer Science and Information Engineering, National Central University, Taoyuan, 32001, Taiwan. horng@db.csie.ncu.edu.tw.
Lee TY; Department of Bioinformatics and Medical Engineering, Asia University, Taichung, 41359, Taiwan. horng@db.csie.ncu.edu.tw.

Sci Rep ; 10(1): 10541, 2020 06 29.

Article in En | MEDLINE | ID: mdl-32601280

Subject(s)

Lysine/metabolism; Plant Proteins/metabolism; Protein Processing, Post-Translational/physiology; Animals; Computational Biology; Mammals/metabolism; Models, Molecular; Proteomics/methods

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Plant Proteins / Protein Processing, Post-Translational / Lysine Type of study: Prognostic_studies / Risk_factors_studies Limits: Animals Language: En Journal: Sci Rep Year: 2020 Document type: Article Affiliation country: Taiwan Country of publication: United kingdom

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