Target identification among known drugs by deep learning from heterogeneous networks
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
Abstract
= 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.
Topics & Concepts
Identification (biology)Deep learningComputational biologyComputer scienceArtificial intelligencePharmacologyMedicineBiologyBotanyComputational Drug Discovery MethodsMetabolomics and Mass Spectrometry StudiesMachine Learning in Bioinformatics