RWRGDR: Random Walk and GraphSAGE-based Framework for Enhanced Drug Repositioning
RWRGDR represents a potentially reliable drug repositioning strategy, as demonstrated through case studies, indicating its practical significance, particularly for emerging conditions with no recognized treatments.
Authors
- Bakanina Kissanga Grace-Mercure
- Biffon Manyura Momanyi (ORCID: https://orcid.org/0000-0001-6893-9709)
- Sebu Aboma Temesgen (ORCID: https://orcid.org/0000-0001-5108-5831)
- Hui Gao (ORCID: https://orcid.org/0000-0002-2793-9953)
- Rui-Qin Fang
- Li-Xia Tang
- Muhammad Arif
- Tanvir Alam
Institutions
- University of Electronic Science and Technology of China (CN)
- Hamad bin Khalifa University (QA)
Publication Details
- Journal
- Current Drug Targets
- Published
- 2026-01-02
- DOI
- https://doi.org/10.2174/0113894501402384251121115127
- Citations
- 1
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 45.17