The study of the human immune system is an important research area with results that can help improve public health. The human immune system is a natural multiagent system. It is, therefore, liable to be simulated by a corresponding artificial multiagent system. The purpose of this study is to propose a multiagent system for conducting experiments that contribute to highlighting the role of humoral immunity in post-streptococcal glomerulonephritis (PSGN). We identified the requirements for extending the AutoSimmune simulator to simulate key phenomena involved in the emergence of PSGN. Two environments were included: kidney and upper respiratory tract. We also included simulation of neutrophil cells. Furthermore, we simulated the administration of antimicrobials, reporting the consequent reduction of PSGN risk.