Drug repurposing in oncology: Bridging computational discovery to clinical application - PubMed
6 hours ago
- #drug-repurposing
- #oncology
- #computational-methods
- Drug repurposing is a cost-efficient strategy to accelerate oncology drug discovery.
- Computational methods like molecular docking, machine learning, and network-based modeling help identify repurposable drugs.
- Experimental pipelines, including high-throughput screening and animal models, validate drug efficacy and mechanisms.
- Repurposed drugs target key cancer pathways such as PI3K/AKT/mTOR and MAPK/ERK.
- Challenges include intellectual property issues, dose optimization, and regulatory uncertainty.
- Clinical translation is hindered by insufficient mechanistic understanding and lack of biomarkers.
- New technologies like AI, patient-derived organoids, and CRISPR enhance precision in drug repurposing.
- Drug repurposing offers a scalable solution to cancer's therapeutic resistance and heterogeneity.