An agent-based software model called 'Micro-Gen Bacterial Simulator' has been developed to model the growth and development of Methicillin-resistant S. aureus (MRSA) bacteria. It can be used as a tool to investigate the connections between antibiotic-resistance mechanisms and their effects on population growth. By inputting low-level biochemical/kinetic parameters, it simulates the pharmacodynamics of MRSA cultures interacting with antibiotic molecules in vitro. Initial testing shows that it can predict the Minimum Inhibitory Concentration (MIC) of an antibiotic, which is the key measure of antibiotic efficacy used in the clinical setting. Micro-Gen represents a robust tool for facilitating the rapid screening of drug compounds against a wide array of bacterial strains in simulated culture conditions.