What is being modeled?
tuberculosis granulomas in lung
Description & purpose of resource
Hybrid multi-scale computational model that tracks whole-lung Mycobacterium tuberculosis infection and predicts factors that inhibit dissemination.
Spatial scales
cellular
tissue
organ
Temporal scales
1 - 103 s
hours
days
weeks to months
This resource is currently
mature and useful in ongoing research
a demonstration or a framework to be built upon (perhaps with a sample implementation)
Has this resource been validated?
Yes
How has the resource been validated?
Experimental data from cynomolgus macaques.
Can this resource be associated with other resources? (e.g.: modular models, linked tools and platforms)
Yes
Which resources?
Other models from our groups - GranSim and 3D GranSim - that describe the formation and function of individual granulomas.
Key publications (e.g. describing or using resource)
Wessler T, Joslyn LR, Borish HJ, Gideon HP, Flynn JL, Kirschner DE, et al. (2020) A computational model tracks whole-lung Mycobacterium tuberculosis infection and predicts factors that inhibit dissemination. PLoS Comput Biol 16(5): e1007280. https://doi.org/10.1371/journal.pcbi.1007280
DOI link to publication describing this resource
Link to resource
Table sorting checkbox
Off