Agent-based modeling of the B cell population dynamics during an infection

Authors

  • Clark Roi Bordario Legaspi Department of Physics, University of San Carlos
  • Marissa Pastor-Liponhay Department of Physics, University of San Carlos

Abstract

B cells are crucial players in the human immune system which secrete antibodies that can eliminate bacterial antigens. An agent-based model is implemented to study the behaviour between B cell-antigen interactions during a bacterial infection. We have determined that infection in the system occurs when 69% of antigens are eliminated. Cellular lifetime of B cells plays a role in clearing the antigens, exhibiting three distinct phases - the lag phase, exponential growth phase, and the stationary phase. A Gompertz curve fit demonstrates that the B cell population curve mimics a biologically realistic phenomena. Studying the population dynamics of the system shows that B cell population peaks at around 60%-70% of antigens are eliminated, further supporting the determined point of infection.

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Published

2020-10-19

How to Cite

[1]
CRB Legaspi and M Pastor-Liponhay, Agent-based modeling of the B cell population dynamics during an infection, Proceedings of the Samahang Pisika ng Pilipinas 38, SPP-2020-4A-09 (2020). URL: https://proceedings.spp-online.org/article/view/SPP-2020-4A-09.

Issue

Section

Computational Physics and Simulations (Short Presentations)