A modular framework for multiscale, multicellular, spatiotemporal modeling of acute primary viral infection and immune response in epithelial tissues and its application to drug therapy timing and effectiveness.

A modular framework for multiscale, multicellular, spatiotemporal modeling of acute primary viral infection and immune response in epithelial tissues and its application to drug therapy timing and effectiveness.

Simulations of tissue-specific effects of primary acute viral infections like COVID-19 are essential for understanding disease outcomes and optimizing therapies. Such simulations need to support continuous updating in response to rapid advances in understanding of infection mechanisms, and parallel...

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Bibliographic Details
Main Authors: T J Sego, Josua O Aponte-Serrano, Juliano Ferrari Gianlupi, Samuel R Heaps, Kira Breithaupt, Lutz Brusch, Jessica Crawshaw, James M Osborne, Ellen M Quardokus, Richard K Plemper, James A Glazier
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-12-01
Series:PLoS Computational Biology
Online Access:https://doi.org/10.1371/journal.pcbi.1008451

Internet

https://doi.org/10.1371/journal.pcbi.1008451

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