MiStImm: an agent-based simulation tool to study the self-nonself discrimination of the adaptive immune response

Table 3 ERS vs. CRS model, simulated by MiStImm 500–500 times as the mean waiting time between two divisions of a pathogen is increasing (from 40 to 80) and the initial number of pathogens is fixed (350)

div time	f cells	ERS wins	CRS wins	ratio	p-value
40	350	208	66	3.152	1.19E-24
50	350	417	225	1.853	4.48E-38
60	350	473	320	1.478	1.16E-35
70	350	493	400	1.233	1.42E-24
80	350	500	441	1.134	2.81E-19

The table shows how the performance of ERS and CRS model is changing when we increase the mean waiting time between two divisions of a pathogen. Column labels are the same as in Table 2 but the positions of the columns “f cells” and “div time” are switched. In every cases ERS performed significantly better than CRS

ISSN: 1742-4682