Table 1.

NetLogo applications in immune system modeling.

Modeling innate immunity
Spatially configured stochastic reaction chambers (SCSRC)	[24]
Agent-based model of inflammation and fibrosis	[25]
Agent-based multiscale modular architecture for dynamic representation of acute inflammation	[26]
Agent-based modeling of endotoxin-induced acute inflammatory response in human blood leukocytes	[27]
Modeling immunity to pathogens
Control of human papillomavirus	[28]
Model of human papillomavirus type 16	[29]
Intercellular peptide transfer through gap junctions	[30]
Connexin hemichannels enter the signalling limelight	[31]
Antigen transport and firebreaks In immune responses	[32]
Modeling immune system dynamic
Mathematical epidemiology of infectious diseases	[33]
Heterogeneity in infection-exposure history and immunity of a protozoan parasite	[34]
Multicell agent-based simulation of the microvasculature	[35]
Modeling diseases
Immunology of multiple sclerosis	[36]
Agent-based modeling of Treg-Teff cross regulation in relapsing-remitting multiple sclerosis	[37]
Molecular bases of virulence of Candida albicans, Cryptococcus neoformans, and Aspergillus fumigates	[38]
Agent-based modeling approach of immune defense against spores of opportunistic human pathogenic fungi	[39]
Tumor immunology
Mathematical and computational models in tumor immunology	[40]
An agent-based model of solid tumor progression	[41]