A foundation language model to decipher diverse regulation of RNAs
Our results indicate that a single foundation language model is applicable in the comprehensive analysis of different aspects of RNA regulation and predictive identification of novel regulatory elements, providing new insight into the design and optimization of RNA drugs.
Authors
- Yulong Zheng (ORCID: https://orcid.org/0000-0002-1401-9883)
- Hanwen Zhou (ORCID: https://orcid.org/0000-0002-1161-1697)
- Guoqing Zhang (ORCID: https://orcid.org/0000-0001-8827-7546)
- Jie Peng (ORCID: https://orcid.org/0000-0001-8907-701X)
- Zefeng Wang (ORCID: https://orcid.org/0000-0002-6605-3637)
- Yue Hu (ORCID: https://orcid.org/0000-0002-2858-0831)
- Wei Chen (ORCID: https://orcid.org/0000-0001-9570-3662)
- Yun Yang (ORCID: https://orcid.org/0000-0003-2958-5391)
- Jiefu Li (ORCID: https://orcid.org/0000-0002-2174-4717)
- Hu Jiang
Institutions
- University of North Carolina at Chapel Hill (US)
- University of North Carolina Health Care (US)
- Southern University of Science and Technology (CN)
- Shanghai Institute of Nutrition and Health (CN)
- Institute for Biomedicine (IT)
- University of Chinese Academy of Sciences (CN)
Publication Details
- Journal
- Genome biology
- Published
- 2025-09-24
- DOI
- https://doi.org/10.1186/s13059-025-03752-x
- Citations
- 4
- Primary Topic
- RNA and protein synthesis mechanisms
- Type
- article
- Field-Weighted Citation Impact
- 3.22
Funders
- Bill and Melinda Gates Foundation
- National Natural Science Foundation of China
- Chinese Academy of Sciences
- National Key Research and Development Program of China