Target identification among known drugs by deep learning from heterogeneous networks

著者: Xiangxiang Zeng, Siyi Zhu, Weiqiang Lü, Zehui Liu, Jin Huang, Yadi Zhou, Jiansong Fang, Yin Huang, Huimin Guo, Lang Li, Bruce D. Trapp, Ruth Nussinov, Charis Eng, Joseph Loscalzo, Feixiong Cheng - Chemical Science 2020 被引用: 350

= 0.43 μM) of human retinoic-acid-receptor-related orphan receptor-gamma t (ROR-γt). Furthermore, by specifically targeting ROR-γt, topotecan reveals a potential therapeutic effect in a mouse model of multiple sclerosis. In summary, deepDTnet offers a powerful network-based deep learning methodology for target identification to accelerate drug repurposing and minimize the translational gap in drug development.