Modeling of Phage-Mediated CRISPRi System to Inhibit Antibiotic Resistances in Bacteria

Antimicrobial resistance (AMR) poses a critical threat to global health, rendering traditional antibiotics increasingly ineffective and amplifying the urgency for innovative solutions. Among promising alternatives, synthetic biology emerges as a powerful tool to combat AMR. This work proposes an innovative strategy based on engineering bacteriophages to deliver CRISPR interference (CRISPRi) systems into antibiotic-resistant pathogens to precisely silence target resistance genes. A comprehensive mathematical model is developed and simulated to capture the dynamics of phage-mediated CRISPRi delivery. By explicitly incorporating mutations that affect CRISPRi functionality, the study evaluates system performance and its potential for long-term therapeutic efficacy. This model serves as a critical framework for optimizing future CRISPRi-based interventions and advancing synthetic biology-driven approaches to tackle AMR.Clinical relevance- This paper provides a quantitative modeling framework to evaluate key parameters affecting engineered phage therapy efficiency, supporting rational design and phage posology optimization.