Aligning Large Language Models with Humans: A Comprehensive Survey of ChatGPT’s Aptitude in Pharmacology
Therefore, exploring retrieval-augmented generation (RAG) or integrating proprietary knowledge bases and knowledge graphs into pharmacology-oriented ChatGPT systems would yield favorable results. This integration will further optimize the potential of LLMs in pharmacology.
Authors
- Shumin Ren (ORCID: https://orcid.org/0000-0002-1376-1891)
- Mengqiao He (ORCID: https://orcid.org/0000-0003-1900-4178)
- Cong Wu
- Rajeev K. Singla (ORCID: https://orcid.org/0000-0002-3353-7897)
- Chaoying Zhan (ORCID: https://orcid.org/0000-0002-4242-1079)
- Zha‐Jun Zhan (ORCID: https://orcid.org/0000-0001-7865-5435)
- J. Zhao (ORCID: https://orcid.org/0000-0001-6408-2314)
- Bairong Shen (ORCID: https://orcid.org/0000-0003-2899-1531)
- Rongrong Wu (ORCID: https://orcid.org/0000-0003-4140-4637)
- Jiao Wang (ORCID: https://orcid.org/0000-0001-7640-3947)
- Dan Du
- Junyu Lu (ORCID: https://orcid.org/0009-0007-9715-0492)
- Xingyun Liu (ORCID: https://orcid.org/0000-0002-9295-2767)
- Yingbo Zhang
Institutions
- Chinese Academy of Tropical Agricultural Sciences (CN)
- Universidade da Coruña (ES)
- Lovely Professional University (IN)
- Sichuan University (CN)
- West China Medical Center of Sichuan University (CN)
- West China Hospital of Sichuan University (CN)
- Tropical Crops Genetic Resources Institute (CN)
- Zhejiang University of Technology (CN)
Publication Details
- Journal
- Drugs
- Published
- 2024-12-20
- DOI
- https://doi.org/10.1007/s40265-024-02124-2
- Citations
- 6
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 2.17
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Hainan Province
- Special Fund for Agro-scientific Research in the Public Interest