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Deep generative model for drug design from protein target sequence.
Chen, Yangyang; Wang, Zixu; Wang, Lei; Wang, Jianmin; Li, Pengyong; Cao, Dongsheng; Zeng, Xiangxiang; Ye, Xiucai; Sakurai, Tetsuya.
Afiliación
  • Chen Y; Department of Computer Science, University of Tsukuba, Tsukuba, 3058577, Japan. chen.yangyang.xp@alumni.tsukuba.ac.jp.
  • Wang Z; Department of Computer Science, University of Tsukuba, Tsukuba, 3058577, Japan.
  • Wang L; Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, 410013, Hunan, China.
  • Wang J; The Interdisciplinary Graduate Program in Integrative Biotechnology and Translational Medicine, Yonsei University, Incheon, 21983, Republic of Korea.
  • Li P; Bioinformatics and Molecular Design Research Center (BMDRC), Incheon, 21983, Republic of Korea.
  • Cao D; School of Computer Science and Technology, Xidian University, Xian, 710071, China.
  • Zeng X; Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, 410013, Hunan, China. oriental-cds@163.com.
  • Ye X; College of Computer Science and Electronic Engineering, Hunan University, Changsha, 410082, Hunan, People's Republic of China. xzeng@hnu.edu.cn.
  • Sakurai T; Department of Computer Science, University of Tsukuba, Tsukuba, 3058577, Japan. yexiucai@cs.tsukuba.ac.jp.
J Cheminform ; 15(1): 38, 2023 Mar 28.
Article en En | MEDLINE | ID: mdl-36978179

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Cheminform Año: 2023 Tipo del documento: Article País de afiliación: Japón Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Cheminform Año: 2023 Tipo del documento: Article País de afiliación: Japón Pais de publicación: Reino Unido