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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.
Afiliación
  • 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 en En | MEDLINE | ID: mdl-36252922
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Minería de Datos / Bases de Datos de Compuestos Químicos Tipo de estudio: Prognostic_studies Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Minería de Datos / Bases de Datos de Compuestos Químicos Tipo de estudio: Prognostic_studies Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido