ProGraphTrans: multimodal dynamic collaborative framework for protein representation learning
Experimental results on four protein downstream tasks show that ProGraphTrans not only outperforms other methods in various indicators but also demonstrates excellent interpretability, demonstrating its advantages and effectiveness as a protein representation method.
Authors
- Yuansheng Liu (ORCID: https://orcid.org/0000-0002-7680-3155)
- Zu‐Guo Yu (ORCID: https://orcid.org/0000-0001-5913-9646)
- Guosheng Han (ORCID: https://orcid.org/0000-0002-7712-6213)
- Zeng Li (ORCID: https://orcid.org/0000-0002-7088-5524)
- Yang Liu (ORCID: https://orcid.org/0000-0002-9934-9354)
Institutions
- Hunan University (CN)
- Xiangtan University (CN)
Publication Details
- Journal
- BMC Biology
- Published
- 2025-11-03
- DOI
- https://doi.org/10.1186/s12915-025-02432-3
- Primary Topic
- Bioinformatics and Genomic Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Innovative Research Group Project of the National Natural Science Foundation of China
- National Natural Science Foundation of China