PBertKla: a protein large language model for predicting human lysine lactylation sites
All results indicated that PBertKla excelled as an automatic predictor of human Kla sites, and it would advance the investigation of lactylation modifications and their significance in health and disease.
Authors
- Xinwei Luo (ORCID: https://orcid.org/0000-0003-1165-1522)
- Dan Luo (ORCID: https://orcid.org/0000-0002-1236-4069)
- Yijie Wei
- Fanny Dao (ORCID: https://orcid.org/0000-0001-5285-6044)
- Hui Ding (ORCID: https://orcid.org/0000-0002-9607-9571)
- Kunxian Shu (ORCID: https://orcid.org/0000-0003-4487-2727)
- Hongyan Lai (ORCID: https://orcid.org/0009-0007-9417-0113)
- Sijia Xie (ORCID: https://orcid.org/0000-0002-9588-1757)
- Huan Yang (ORCID: https://orcid.org/0009-0001-9504-190X)
- Mi Yang
- Feitong Hong
- Tao Zhu (ORCID: https://orcid.org/0009-0005-4085-921X)
Institutions
- Chongqing University of Posts and Telecommunications (CN)
- University of Electronic Science and Technology of China (CN)
- Quzhou University (CN)
Publication Details
- Journal
- BMC Biology
- Published
- 2025-04-06
- DOI
- https://doi.org/10.1186/s12915-025-02202-1
- Citations
- 8
- Primary Topic
- Machine Learning in Bioinformatics
- Type
- article
- Field-Weighted Citation Impact
- 6.45
Funders
- National Natural Science Foundation of China
- Department of Science and Technology of Sichuan Province
- Natural Science Foundation of Chongqing
- Chengdu Science and Technology Bureau
- Centre Scientifique et Technique du Bâtiment
- Health Commission of Sichuan Province