Exploiting similarity in drug molecular effects for drug repurposing
By developing a new approach to using LINCS L1000 data for drug repositioning, we both propose plausible new disease treatments and provide an interpretable rationale for predictions. Our findings not only put forward new drug repositioning candidates, browseable at https://bsultan.shinyapps.io/web-app , but they also provide guidelines for future researchers employing L1000 data for drug repurposing.
Authors
- Katie Huang (ORCID: https://orcid.org/0000-0001-5589-7212)
- Panagiotis Nikolaos Lalagkas (ORCID: https://orcid.org/0000-0002-8245-1758)
- Rachel Melamed (ORCID: https://orcid.org/0000-0003-3089-9806)
- Beftu Sultan
Institutions
- University of Massachusetts Lowell (US)
Publication Details
- Journal
- Human Genomics
- Published
- 2025-09-30
- DOI
- https://doi.org/10.1186/s40246-025-00808-8
- Citations
- 1
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 1.50
Funders
- National Science Foundation
- National Institute of General Medical Sciences