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PySmash: Python package and individual executable program for representative substructure generation and application.
Yang, Zi-Yi; Yang, Zhi-Jiang; Zhao, Yue; Yin, Ming-Zhu; Lu, Ai-Ping; Chen, Xiang; Liu, Shao; Hou, Ting-Jun; Cao, Dong-Sheng.
Afiliação
  • Yang ZY; Department of Pharmacy, Xiangya Hospital, Central South University and the Xiangya School of Pharmaceutical Sciences, Central South University, Sichuan, China.
  • Yang ZJ; Xiangya School of Pharmaceutical Sciences, Central South University, Hunan, China.
  • Zhao Y; Xiangya School of Pharmaceutical Sciences, Central South University (Changsha), Sichuan, China.
  • Yin MZ; Department of Dermatology, Hunan Engineering Research Center of Skin Health and Disease, Hunan Key Laboratory of Skin Cancer and Psoriasis, Xiangya Hospital, Central South University, Hunan.
  • Lu AP; Institute for Advancing Translational Medicine in Bone and Joint Diseases, School of Chinese Medicine, Hong Kong Baptist University, Hong Kong.
  • Chen X; Department of Dermatology, Hunan Engineering Research Center of Skin Health and Disease, Hunan Key Laboratory of Skin Cancer and Psoriasis, Xiangya Hospital, Central South University, Hunan.
  • Liu S; Department of Pharmacy, Xiangya Hospital, Central South University, Hunan.
  • Hou TJ; College of Pharmaceutical Sciences, Zhejiang University, China.
  • Cao DS; Xiangya School of Pharmaceutical Sciences, Central South University, China.
Brief Bioinform ; 22(5)2021 09 02.
Article em En | MEDLINE | ID: mdl-33709154
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Biologia Computacional / Descoberta de Drogas / Aprendizado de Máquina Limite: Humans Idioma: En Revista: Brief Bioinform Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China
Texto completo
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XML
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Biologia Computacional / Descoberta de Drogas / Aprendizado de Máquina Limite: Humans Idioma: En Revista: Brief Bioinform Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China