Journal
FEBS LETTERS
Volume 590, Issue 13, Pages 1972-1986Publisher
WILEY
DOI: 10.1002/1873-3468.12095
Keywords
HCV; HIV; mathematical modeling; quantitative viral dynamics; systems biology
Funding
- Center for Modeling and Simulation in the Biosciences (BIOMS)
- Heidelberg Graduate School for Fundamental Physics (HGSFP)
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Replication and spread of human viruses is based on the simultaneous exploitation of many different host functions, bridging multiple scales in space and time. Mathematical modeling is essential to obtain a systems-level understanding of how human viruses manage to proceed through their life cycles. Here, we review corresponding advances for viral systems of large medical relevance, such as human immunodeficiency virus-1 (HIV-1) and hepatitis C virus (HCV). We will outline how the combination of mathematical models and experimental data has advanced our quantitative knowledge about various processes of these pathogens, and how novel quantitative approaches promise to fill remaining gaps.
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