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PanGu Drug Model: learn a molecule like a human 被引量:1
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作者 Xinyuan Lin Chi Xu +11 位作者 Zhaoping Xiong Xinfeng Zhang ningxi ni bolin ni Jianlong Chang Ruiqing Pan Zidong Wang Fan Yu Qi Tian Hualiang Jiang Mingyue Zheng Nan Qiao 《Science China(Life Sciences)》 SCIE CAS CSCD 2023年第4期879-882,共4页
Dear Editor,Recent achievements in large-scale pre-trained models like GPT-3 and PanGu-α have demonstrated astounding performances in many downstream tasks of natural language processing (NLP),confirming AI to be use... Dear Editor,Recent achievements in large-scale pre-trained models like GPT-3 and PanGu-α have demonstrated astounding performances in many downstream tasks of natural language processing (NLP),confirming AI to be user-oriented for even industrial applications.Deep learning has been recognized as the most promising technology for pharmaceuticals,a powerful molecule pre-trained model that could economize researchers’tons of time.For the strategic application of AI capabilities to the drug discovery field,we pre-trained a model called PanGu Drug Model with 1.7 billion small molecules from ZINC20 (Irwin et al.,2020),DrugSpaceX(Yang et al.,2021),and UniChem (Chambers et al.,2013). 展开更多
关键词 FIR trained STRATEGIC
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