DrugTar improves druggability prediction by integrating large language models and gene ontologies
DrugTar is available as a web server at www.DrugTar.com. The data and source code are at https://github.com/NBorhani/DrugTar.
Authors
- Yousof Gheisari (ORCID: https://orcid.org/0000-0001-9665-1091)
- Ali Motahharynia (ORCID: https://orcid.org/0000-0002-1140-3257)
- Iman Izadi (ORCID: https://orcid.org/0000-0003-0476-502X)
- Niloofar Borhani
- M. Sheikholeslami
Institutions
- Isfahan University of Medical Sciences (IR)
- Isfahan University of Technology (IR)
- University of Isfahan (IR)
Publication Details
- Journal
- Bioinformatics
- Published
- 2025-06-24
- DOI
- https://doi.org/10.1093/bioinformatics/btaf360
- Citations
- 2
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 3.01