Repurposing Drug Explorer (ReDEx): A Tool for Integrating Disease Networks, Drug Similarity Algorithms and Functional Exploration Powered by Enalos Cloud Platform
Drug repurposing is a widely adopted strategy aimed at identifying new therapeutic uses for drugs, offering a faster and more cost-effective alternative to traditional drug development. While the approach has gained significant traction, most existing computational tools are either focused on narrow analytical tasks, require extensive coding expertise or are disease-specific. To address these limitations, we present Repurposing Drug Explorer (ReDEx) - a user-friendly, zero-code platform that streamlines drug repurposing analysis through multiple interactive modules. ReDEx enables the exploration of drug-disease relationships using chemical structure-similarity-based, network-based, and functional methods within an integrated interface. Applied to Bipolar Disorder (BD), after excluding 3 of the 23 FDA approved/investigational drugs for BD, ReDEx successfully recovered all 3 in the top 15 out of 28,189 candidates. ReDEx is offered through a web interface on the Enalos Cloud Platform, enabling users to investigate individual drugs, diseases, or drug-disease pairs without programming skills.
Authors
- Danae Zareifi (ORCID: https://orcid.org/0000-0003-2108-4955)
- Bernhard T. Baune (ORCID: https://orcid.org/0000-0001-6548-426X)
- Konstantinos D. Papavasileiou (ORCID: https://orcid.org/0000-0002-2322-7422)
- Haralampos Tzoupis (ORCID: https://orcid.org/0000-0002-1534-2762)
- Georgia Melagraki (ORCID: https://orcid.org/0000-0001-7547-2342)
- Antreas Afantitis (ORCID: https://orcid.org/0000-0002-0977-8180)
- Danai Giannakou
- Antreas Tsoumanis
- Constantinos Papavasiliou
- Chiara Fabbri
Institutions
- Florey Institute of Neuroscience and Mental Health (AU)
- Hellenic Military Academy (GR)
- NovaMechanics (Cyprus) (CY)
- University of Bologna (IT)
Publication Details
- Journal
- Journal of Molecular Biology
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1016/j.jmb.2025.169610
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00