A Theoretical Framework for a Multi-Level Molecular Intervention Strategy Against Aging and Cancer

This theoretical framework proposes an AI-optimized, multi-level intervention strategy targeting cellular building blocks—small molecules (e.g., methionine), macromolecules (e.g., proteins, nucleic acids), and supramolecular assemblies (e.g., membranes, chromosomes) to combat aging and cancer. Leveraging AI-driven simulations, the approach modulates key pathways, notably methionine metabolism, to restore cellular homeostasis, delay senescence, and induce selective apoptosis in cancerous cells. Detailed mechanisms, including the role of vitamins in metabolism, AI applications, falsifiable hypotheses, computational model specifics, synergistic effects, and potential side effects are elaborated. Methodological clarity, specific molecular targets, and delivery challenges are addressed, with ethical considerations emphasizing equitable access and safety. No funding was received, and the author declares no competing interests.