Target identification among known drugs by deep learning from heterogeneous networks 论文
2020Chemical Science引用 348顶会
Computational Drug Discovery MethodsMetabolomics and Mass Spectrometry StudiesMachine Learning in Bioinformatics
摘要
= 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.