SUPERSEDED : IN SILICO ANALYSIS OF NATURAL ANTICANCER PEPTIDES (ACPS): MODELING ECONOMICAL PRODUCTION SYSTEMS AND SIMULATION OF SUCCESS AGAINST HUMAN CANCER CELL LINES

The increasing resistance to conventional chemotherapy necessitates the development of selective and potent therapeutic agents. Anticancer Peptides (ACPs), derived from diverse natural sources such as amphibians, insects, and marine organisms, offer a promising alternative due to their unique ability to target negatively charged cancer membranes. This study provides a comprehensive in silico evaluation of high-potency ACP groups, focusing on their structural characteristics—primarily cationicity and amphipathicity—and their deformation mechanisms against human cancer cell lines, including MCF-7 (breast) and A549 (lung). Through a comparative analysis of production strategies, we propose a bioinformatic model to simulate peptide-target affinity. Our findings indicate that while direct extraction from natural sources is biologically significant, recombinant expression in microbial systems (e.g., Escherichia coli) remains the most economically viable and ergonomically scalable method for mass production. This research establishes a theoretical bridge between natural evolutionary defense mechanisms and modern oncological drug design, providing a roadmap for cost-effective peptide synthesis in cancer therapy.