LDS-CNN: a deep learning framework for drug-target interactions prediction based on large-scale drug screening.

Wang, Yang; Zhang, Zuxian; Piao, Chenghong; Huang, Ying; Zhang, Yihan; Zhang, Chi; Lu, Yu-Jing; Liu, Dongning

Wang, Yang; Zhang, Zuxian; Piao, Chenghong; Huang, Ying; Zhang, Yihan; Zhang, Chi; Lu, Yu-Jing; Liu, Dongning.

Afiliação

Wang Y; School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, 510006 China.
Zhang Z; School of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou, 510006 China.
Piao C; The First Affiliated Hospital of Ningbo University, Ningbo, 315010 China.
Huang Y; School of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou, 510006 China.
Zhang Y; School of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou, 510006 China.
Zhang C; Shanghai Institute of Biological Products, Shanghai, 201403 China.
Lu YJ; School of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou, 510006 China.
Liu D; Smart Medical Innovation Technology Center, Guangdong University of Technology, Guangzhou, 510006 China.

Health Inf Sci Syst ; 11(1): 42, 2023 Dec.

Article em En | MEDLINE | ID: mdl-37667773

Palavras-chave

Convolutional neural networks; Drug-target interaction prediction; Large scale prediction; United encoding

Texto completo

Adicionar na Minha BVS

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Idioma: En Revista: Health Inf Sci Syst Ano de publicação: 2023 Tipo de documento: Article País de publicação: Reino Unido

Texto completo

Adicionar na Minha BVS

Imprimir

XML

PubMed Links

Buscar no Google