Multiscale modeling of virus replication and spread
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....
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| Main Authors: | , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
6 March 2016
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| In: |
FEBS letters
Year: 2016, Volume: 590, Issue: 13, Pages: 1972-1986 |
| ISSN: | 1873-3468 |
| DOI: | 10.1002/1873-3468.12095 |
| Online Access: | Verlag, kostenfrei, Volltext: http://dx.doi.org/10.1002/1873-3468.12095 Verlag, kostenfrei, Volltext: http://onlinelibrary.wiley.com/doi/10.1002/1873-3468.12095/abstract 
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| Author Notes: | Peter Kumberger, Felix Frey, Ulrich S. Schwarz and Frederik Graw |
| Summary: | 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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| Item Description: | Gesehen am 07.12.2017 |
| Physical Description: | Online Resource |
| ISSN: | 1873-3468 |
| DOI: | 10.1002/1873-3468.12095 |