PKSPS: a novel method for predicting kinase of specific phosphorylation sites based on maximum weighted bipartite matching algorithm and phosphorylation sequence enrichment analysis.

Guo, Xinyun; He, Huan; Yu, Jialin; Shi, Shaoping

Guo, Xinyun; He, Huan; Yu, Jialin; Shi, Shaoping.

Afiliação

Guo X; Department of Mathematics and Numerical Simulation and High-Performance Computing Laboratory, School of Sciences, Nanchang University, Nanchang 330031, China.
He H; Department of Mathematics and Numerical Simulation and High-Performance Computing Laboratory, School of Sciences, Nanchang University, Nanchang 330031, China.
Yu J; Department of Mathematics and Numerical Simulation and High-Performance Computing Laboratory, School of Sciences, Nanchang University, Nanchang 330031, China.
Shi S; Department of Mathematics and Numerical Simulation and High-Performance Computing Laboratory, School of Sciences, Nanchang University, Nanchang 330031, China.

Brief Bioinform ; 23(1)2022 01 17.

Article em En | MEDLINE | ID: mdl-34661630

Assuntos

Algoritmos; Proteínas Quinases; Humanos; Fosforilação; Mapas de Interação de Proteínas; Proteínas Quinases/genética; Proteínas Quinases/metabolismo; Software

Palavras-chave

MWBM; PPI network; PSEA; kinase identification; phosphorylation

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteínas Quinases / Algoritmos Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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