Large Language Model-Based Natural Language Encoding Could Be All You Need for Drug Biomedical Association Prediction

Author:

Zhang Hanyu12ORCID,Zhou Yuan3ORCID,Zhang Zhichao3,Sun Huaicheng3ORCID,Pan Ziqi3ORCID,Mou Minjie3ORCID,Zhang Wei3ORCID,Ye Qing3,Hou Tingjun3ORCID,Li Honglin4ORCID,Hsieh Chang-Yu3,Zhu Feng12ORCID

Affiliation:

1. Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, Alibaba-Zhejiang University Joint Research Center of Future Digital Healthcare, Hangzhou 330110, China

2. College of Pharmaceutical Sciences, The Second Affiliated Hospital, Zhejiang University School of Medicine, State Key Laboratory of Advanced Drug Delivery and Release Systems, Zhejiang University, Hangzhou 310058, China

3. College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China

4. Innovation Center for AI and Drug Discovery, East China Normal University, Shanghai 200062, China

Funder

National Ten Thousand Talent Program

Ministry of Education of the People's Republic of China

National Key Research and Development Program of China

Key Research and Development Program of Zhejiang Province

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

Publisher

American Chemical Society (ACS)

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