Phosphorylation site prediction in plants.

Yao, Qiuming; Schulze, Waltraud X; Xu, Dong

Yao, Qiuming; Schulze, Waltraud X; Xu, Dong.

Affiliation

Yao Q; Department of Computer Science and Bond Life Sciences Center, University of Missouri, Columbia, MO, 65211, USA.

Methods Mol Biol ; 1306: 217-28, 2015.

Article in En | MEDLINE | ID: mdl-25930706

Subject(s)

Computational Biology/methods; Plant Proteins/chemistry; Plant Proteins/metabolism; Plants/metabolism; Binding Sites; Computational Biology/economics; Databases, Protein; Internet; Machine Learning; Models, Statistical; Phosphorylation; Plants/chemistry; Serine/chemistry; Software; Threonine/chemistry; Tyrosine/chemistry

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Full text: 1 Database: MEDLINE Main subject: Plant Proteins / Plants / Computational Biology Type of study: Guideline / Prognostic_studies / Risk_factors_studies Language: En Journal: Methods Mol Biol Year: 2015 Type: Article Affiliation country: United States

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