Multiscale models of infection
| Autor: | Lee Talman, Eran Agmon, Markus W. Covert, Shayn M. Peirce |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
0303 health sciences
Biomedical Engineering Medicine (miscellaneous) Bioengineering 02 engineering and technology Computational biology Biology 021001 nanoscience & nanotechnology Multiscale modeling Biomaterials 03 medical and health sciences Cell metabolism 0210 nano-technology 030304 developmental biology |
| Zdroj: | Current Opinion in Biomedical Engineering. 11:102-108 |
| ISSN: | 2468-4511 |
| Popis: | Summary Bacterial and viral pathogens affect the homeostasis of their hosts in complex and oftentimes unintuitive ways. Mechanistic insights into these host–pathogen interactions may one day allow us to discover more effective antimicrobials and antiviral therapies. The mechanisms that affect overall infection outcomes in the tissue and organ scales are often dictated by behaviors at the cellular and subcellular scales, such as cell metabolism, reproduction, aggregation, and survival. Computational modeling allows us to determine these large-scale outcomes by modeling smaller-scale phenomena, and this field of “multiscale computational modeling” has recently seen tremendous growth and innovation. In this article, we review recent studies of multiscale computational modeling of infection and their impact on the mechanistic understanding of host–pathogen interactions toward developing better therapies and multiscale modeling frameworks. |
| Databáze: | OpenAIRE |
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