SSGraphCPI: A Novel Model for Predicting Compound-Protein Interactions Based on Deep Learning.

Wang, Xun; Liu, Jiali; Zhang, Chaogang; Wang, Shudong

Wang, Xun; Liu, Jiali; Zhang, Chaogang; Wang, Shudong.

Afiliação

Wang X; College of Computer Science and Technology, China University of Petroleum, Qingdao 266555, China.
Liu J; State Key Laboratory of Computer Architecture, Institute of Computing Technology, University of Chinese Academy of Sciences, Beijing 100080, China.
Zhang C; College of Computer Science and Technology, China University of Petroleum, Qingdao 266555, China.
Wang S; College of Computer Science and Technology, China University of Petroleum, Qingdao 266555, China.

Int J Mol Sci ; 23(7)2022 Mar 29.

Article em En | MEDLINE | ID: mdl-35409140

Assuntos

Aprendizado Profundo; Sistemas de Liberação de Medicamentos; Descoberta de Drogas; Humanos; Redes Neurais de Computação; Proteínas/química

Palavras-chave

IC50 value; compound properties; compound-protein interactions; deep learning; protein preperties

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

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