Computational methods for predicting hotspots at protein-RNA interfaces.

Mei, Long-Can; Hao, Ge-Fei; Yang, Guang-Fu

Mei, Long-Can; Hao, Ge-Fei; Yang, Guang-Fu.

Afiliação

Mei LC; Key Laboratory of Pesticide and Chemical Biology, Ministry of Education, College of Chemistry, Central China Normal University, Wuhan, China.
Hao GF; International Joint Research Center for Intelligent Biosensor Technology and Health, Central China Normal University, Wuhan, China.
Yang GF; Key Laboratory of Pesticide and Chemical Biology, Ministry of Education, College of Chemistry, Central China Normal University, Wuhan, China.

Wiley Interdiscip Rev RNA ; 13(2): e1675, 2022 03.

Article em En | MEDLINE | ID: mdl-34080311

Assuntos

Proteínas; RNA; Sítios de Ligação; Biologia Computacional/métodos; Ligação Proteica; Proteínas/metabolismo; RNA/metabolismo

Palavras-chave

RNA binding protein; hotspot residues; machine learning; protein-RNA binding; thermodynamics

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: RNA / Proteínas Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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