BioMed Research International / 2014 / Article / Tab 1

Review Article

Agent-Based Modeling of the Immune System: NetLogo, a Promising Framework

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]