首页> Briefings in bioinformatics> CMGN: a conditional molecular generation net to design target-specific molecules with desired properties.

CMGN: a conditional molecular generation net to design target-specific molecules with desired properties.

导出 LinkOut

翻译打印收藏纠错

第一作者： Minjian,Yang

第一单位： State Key Laboratory of Bioactive Substances and Functions of Natural Medicines, Department of Medicinal Chemistry, Beijing Key Laboratory of Active Substances Discovery and Druggability Evaluation, Institute of Materia Medica, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100050, China.

作者： Minjian,Yang ^[1] ; Hanyu,Sun ^[2] ; Xue,Liu ^[2] ; Xi,Xue ^[2] ; Yafeng,Deng ^[3] ; Xiaojian,Wang ^[1]

作者单位： State Key Laboratory of Bioactive Substances and Functions of Natural Medicines, Department of Medicinal Chemistry, Beijing Key Laboratory of Active Substances Discovery and Druggability Evaluation, Institute of Materia Medica, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100050, China. ^[1] State Key Laboratory of Bioactive Substances and Functions of Natural Medicines, Institute of Materia Medica, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100050, China. ^[2] CarbonSilicon AI Technology Co., Ltd., China. ^[3]

关键词 BART conditional molecular generation drug design molecule optimization structure–properties relationships

医学主题词药物设计(Drug Design);药物发现(Drug Discovery);学习(Learning);受体蛋白质酪氨酸激酶类(Receptor Protein-Tyrosine Kinases)

DOI 10.1093/bib/bbad185

PMID 37193672

发布时间 2023-07-24

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交