Rational Design of Cancer Drug Combinations
Cancer, despite decades of focused research and treatment development, still stands as one of the most stubborn threats to human health. Common treatments such as surgery, radiation, chemotherapy are effective, but they often fall short. Side effects can be severe, and results vary from patient to patient. More recent strategies, like immunotherapy or targeted drugs, seem promising but don't work across the board. What this paper tries to do is look at an alternativecombining drugs in a way that zeroes in on how cancer cells work differently from normal ones. Tumors grow in ways they shouldn't,mess with metabolism, resist cell death, and even fool the immune system. That opens the door to some overlooked treatmentsthings that change how cancer cells make energy, or that ramp up oxidative stress. It even includes tools like DNA origami, which sounds strange but lets drugs be delivered more precisely. The point isntto find one cure, but to build smarter combinations that match the diseases complexity and do less harm in the process.
Authors
- Jun Liu (ORCID: https://orcid.org/0000-0002-1604-0539)
Institutions
- Asheville Cardiology Associates (US)
- University of North Carolina at Asheville (US)
Publication Details
- Journal
- Theoretical and Natural Science
- Published
- 2025-07-20
- DOI
- https://doi.org/10.54254/2753-8818/2025.au25018
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00