The Critical Role of In Silico Laboratory Approaches in Pharmaceutical Microbiology and Novel Drug Discovery: A Review Study

Abstract

The adoption of in silico methodologies has profoundly transformed drug discovery within microbiology, facilitating rapid, cost-effective, and highly accurate analyses throughout all phases of pharmaceutical development. By integrating computational approaches with traditional experimental techniques, the process of identifying, optimizing, and translating novel antimicrobial agents into clinical practice has been significantly accelerated, thereby contributing to the resolution of pressing global health concerns. In particular, the application of computational strategies—such as machine learning, molecular docking, and quantitative structure-activity relationship (QSAR) modeling—has proven instrumental in addressing critical challenges, including antimicrobial resistance, pathogen identification, and the advancement of new therapeutics. This review provides a comprehensive synthesis of recent progress and applications in in silico technologies, underscoring their transformative impact on the pace and efficacy of scientific innovation in pharmaceutical microbiology and drug discovery