AMMVF-DTI: A Novel Model Predicting Drug-Target Interactions Based on Attention Mechanism and Multi-View Fusion.

Wang, Lu; Zhou, Yifeng; Chen, Qu

Wang, Lu; Zhou, Yifeng; Chen, Qu.

Afiliação

Wang L; School of Biological and Chemical Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China.
Zhou Y; School of Biological and Chemical Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China.
Chen Q; School of Biological and Chemical Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China.

Int J Mol Sci ; 24(18)2023 Sep 15.

Article em En | MEDLINE | ID: mdl-37762445

Assuntos

COVID-19; Humanos; Animais; Caenorhabditis elegans; Desenvolvimento de Medicamentos; Interações Medicamentosas

Palavras-chave

drug repositioning; drugtarget interaction; graph attention networks; multi-head self-attention mechanism; neural tensor networks

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals / Humans Idioma: En Revista: Int J Mol Sci Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

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