Reinforcement learning-based generative artificial intelligence for novel pesticide design
This proof-of-concept study highlights the utility of PestiGen as a valuable tool for pesticide design. The web server based on the model is freely available at https://dpai.ccnu.edu.cn/PestiGen/.
Authors
- Ruoqi Yang (ORCID: https://orcid.org/0000-0002-6597-0118)
- Zhuo-Mei Cai
- Fan Wang (ORCID: https://orcid.org/0000-0003-2664-9214)
- Jin Dong (ORCID: https://orcid.org/0000-0002-3605-5316)
- Hong‐Yan Lin (ORCID: https://orcid.org/0000-0002-5627-3708)
- Biao Li
- Guang‐Fu Yang (ORCID: https://orcid.org/0000-0003-4384-2593)
Institutions
- Central China Normal University (CN)
- Ministry of Education (ME)
Publication Details
- Journal
- Journal of Advanced Research
- Published
- 2025-03-01
- DOI
- https://doi.org/10.1016/j.jare.2025.02.030
- Citations
- 7
- Primary Topic
- Viral Infectious Diseases and Gene Expression in Insects
- Type
- article
- Field-Weighted Citation Impact
- 5.64
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China