FragDPI: a novel drug-protein interaction prediction model based on fragment understanding and unified coding.

Yang, Zhihui; Liu, Juan; Zhu, Xuekai; Yang, Feng; Zhang, Qiang; Shah, Hayat Ali

Yang, Zhihui; Liu, Juan; Zhu, Xuekai; Yang, Feng; Zhang, Qiang; Shah, Hayat Ali.

Afiliación

Yang Z; Institute of Artificial Intelligence, School of Computer Science, Wuhan University, Wuhan, 430072 China.
Liu J; Institute of Artificial Intelligence, School of Computer Science, Wuhan University, Wuhan, 430072 China.
Zhu X; Institute of Artificial Intelligence, School of Computer Science, Wuhan University, Wuhan, 430072 China.
Yang F; Institute of Artificial Intelligence, School of Computer Science, Wuhan University, Wuhan, 430072 China.
Zhang Q; Institute of Artificial Intelligence, School of Computer Science, Wuhan University, Wuhan, 430072 China.
Shah HA; Institute of Artificial Intelligence, School of Computer Science, Wuhan University, Wuhan, 430072 China.

Front Comput Sci ; 17(5): 175903, 2023.

Article en En | MEDLINE | ID: mdl-36532946

Palabras clave

BERT; Bi-Transformer; affinity score; drug-protein interaction; virtual drug screening

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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Comput Sci Año: 2023 Tipo del documento: Article

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