OptNCMiner: a deep learning approach for the discovery of natural compounds modulating disease-specific multi-targets.

Shin, Seo Hyun; Oh, Seung Man; Yoon Park, Jung Han; Lee, Ki Won; Yang, Hee

Shin, Seo Hyun; Oh, Seung Man; Yoon Park, Jung Han; Lee, Ki Won; Yang, Hee.

Afiliação

Shin SH; Department of Agricultural Biotechnology, Seoul National University, Seoul, 08826, Republic of Korea.
Oh SM; Department of Agricultural Biotechnology, Seoul National University, Seoul, 08826, Republic of Korea.
Yoon Park JH; Bio-MAX Institute, Seoul National University, Seoul, 08826, Republic of Korea.
Lee KW; Department of Agricultural Biotechnology, Seoul National University, Seoul, 08826, Republic of Korea. kiwon@snu.ac.kr.
Yang H; Bio-MAX Institute, Seoul National University, Seoul, 08826, Republic of Korea. kiwon@snu.ac.kr.

BMC Bioinformatics ; 23(1): 218, 2022 Jun 07.

Article em En | MEDLINE | ID: mdl-35672685

Assuntos

Aprendizado Profundo; Diabetes Mellitus Tipo 2; Humanos; Aprendizado de Máquina; Preparações Farmacêuticas; Proteínas

Palavras-chave

Chemical-protein interaction; Deep learning; Multi-target prediction; Natural compounds; Siamese neural network

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 2 / Aprendizado Profundo Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: BMC Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article

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