GS-DTI: a graph-structure-aware framework leveraging large language models for drug–target interaction prediction
The GS-DTI source code and processed datasets are available at https://github.com/purvavideha/GSDTI. All experimental data are derived from public sources.
Authors
- Jiyue Jiang
- Qinze Yu (ORCID: https://orcid.org/0009-0000-5116-2833)
- Yu Li (ORCID: https://orcid.org/0000-0002-7066-6110)
- Chang Zhou (ORCID: https://orcid.org/0000-0001-9241-702X)
- Xiangyu Shi (ORCID: https://orcid.org/0009-0007-3909-7929)
Institutions
- Shenzhen Institute of Information Technology (CN)
- Beijing Jiaotong University (CN)
- Education University of Hong Kong (HK)
- HKUST Shenzhen Research Institute (CN)
- University of Hong Kong (HK)
Publication Details
- Journal
- Bioinformatics
- Published
- 2025-08-01
- DOI
- https://doi.org/10.1093/bioinformatics/btaf445
- Citations
- 4
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 6.02