Progress and challenges in predicting protein methylation sites. | Mol Biosyst;11(10): 2610-9, 2015 Oct. | MEDLINE

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Progress and challenges in predicting protein methylation sites.

Shi, Shao-Ping; Xu, Hao-Dong; Wen, Ping-Ping; Qiu, Jian-Ding.

Affiliation

Shi SP; Department of Chemistry, Nanchang University, Nanchang, 330031, China. jdqiu@ncu.edu.cn.

Mol Biosyst ; 11(10): 2610-9, 2015 Oct.

Article in En | MEDLINE | ID: mdl-26080040

Subject(s)

Computational Biology/methods; Proteins/chemistry; Proteins/metabolism; Algorithms; Binding Sites; Computer Simulation; Humans; Methylation; Models, Molecular; Protein Methyltransferases/metabolism

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Proteins / Computational Biology Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Mol Biosyst Year: 2015 Document type: Article

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Proteins / Computational Biology Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Mol Biosyst Year: 2015 Document type: Article