iPro-MP: a BERT-based model to predict multiple prokaryotic promoters
Our novel approach to predicting prokaryotic promoters, iPro-MP, provides the superiority to other existing tools, especially in predicting non-model organisms. Finally, for the convenience of other researchers, the source code and datasets of iPro-MP are freely available at https://github.com/Jackie-Suv/iPro-MP .
Authors
- Xueqin Xie (ORCID: https://orcid.org/0000-0002-7807-9930)
- Hao Lv (ORCID: https://orcid.org/0000-0002-7580-0155)
- Yafei Zhao (ORCID: https://orcid.org/0000-0001-5098-7753)
- Hao Lin (ORCID: https://orcid.org/0000-0001-6265-2862)
- Wei Su (ORCID: https://orcid.org/0000-0001-6818-0149)
- Yuhe R. Yang (ORCID: https://orcid.org/0000-0003-2321-4653)
- Hongqi Zhang (ORCID: https://orcid.org/0000-0003-4316-9378)
- Shuai Yuan (ORCID: https://orcid.org/0000-0002-8709-7292)
- Yuduo Hao
- Dong-Xin Ye
Institutions
- Sichuan Cancer Hospital (CN)
Publication Details
- Journal
- Genome biology
- Published
- 2025-10-13
- DOI
- https://doi.org/10.1186/s13059-025-03819-9
- Primary Topic
- Genomics and Phylogenetic Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- China Postdoctoral Science Foundation