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Multi-modal chemical information reconstruction from images and texts for exploring the near-drug space.
Wang, Jie; Shen, Zihao; Liao, Yichen; Yuan, Zhen; Li, Shiliang; He, Gaoqi; Lan, Man; Qian, Xuhong; Zhang, Kai; Li, Honglin.
Afiliação
  • Wang J; Shanghai Key Laboratory of New Drug Design, School of Pharmacy, East China University of Science & Technology, Shanghai 200237, China.
  • Shen Z; Shanghai Key Laboratory of New Drug Design, School of Pharmacy, East China University of Science & Technology, Shanghai 200237, China.
  • Liao Y; Shanghai Key Laboratory of New Drug Design, School of Pharmacy, East China University of Science & Technology, Shanghai 200237, China.
  • Yuan Z; Shanghai Key Laboratory of New Drug Design, School of Pharmacy, East China University of Science & Technology, Shanghai 200237, China.
  • Li S; Shanghai Key Laboratory of New Drug Design, School of Pharmacy, East China University of Science & Technology, Shanghai 200237, China.
  • He G; School of Computer Science and Technology, East China Normal University, Shanghai 200062, China.
  • Lan M; School of Computer Science and Technology, East China Normal University, Shanghai 200062, China.
  • Qian X; Innovation Center for AI and Drug Discovery, East China Normal University, Shanghai 200062, China.
  • Zhang K; School of Computer Science and Technology, East China Normal University, Shanghai 200062, China.
  • Li H; Shanghai Key Laboratory of New Drug Design, School of Pharmacy, East China University of Science & Technology, Shanghai 200237, China.
Brief Bioinform ; 23(6)2022 11 19.
Article em En | MEDLINE | ID: mdl-36252922
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mineração de Dados / Bases de Dados de Compostos Químicos Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mineração de Dados / Bases de Dados de Compostos Químicos Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article