A Hierarchy of Interactions between Pathogenic Virus and Vertebrate Host

This review is of basic models of the interactions between a pathogenic virus and vertebrate animal host. The interactions at the population level are described by a predatory-prey model, a common approach in the ecological sciences, and depend on births and deaths within each population. This ecolo...

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Main Author: Robert Friedman
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Symmetry
Subjects:
Online Access:https://www.mdpi.com/2073-8994/14/11/2274
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author Robert Friedman
author_facet Robert Friedman
author_sort Robert Friedman
collection DOAJ
description This review is of basic models of the interactions between a pathogenic virus and vertebrate animal host. The interactions at the population level are described by a predatory-prey model, a common approach in the ecological sciences, and depend on births and deaths within each population. This ecological perspective is complemented by models at the genetical level, which includes the dynamics of gene frequencies and the mechanisms of evolution. These perspectives are symmetrical in their relatedness and reflect the idealized forms of processes in natural systems. In the latter sections, the general use of deep learning methods is discussed within the above context, and proposed for effective modeling of the response of a pathogenic virus in a pathogen–host system, which can lead to predictions about mutation and recombination in the virus population.
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spelling doaj.art-f58746d9cdfb46a498e185151204cb642023-11-24T07:07:39ZengMDPI AGSymmetry2073-89942022-10-011411227410.3390/sym14112274A Hierarchy of Interactions between Pathogenic Virus and Vertebrate HostRobert Friedman0Department of Biological Sciences, University of South Carolina, Columbia, SC 29208, USAThis review is of basic models of the interactions between a pathogenic virus and vertebrate animal host. The interactions at the population level are described by a predatory-prey model, a common approach in the ecological sciences, and depend on births and deaths within each population. This ecological perspective is complemented by models at the genetical level, which includes the dynamics of gene frequencies and the mechanisms of evolution. These perspectives are symmetrical in their relatedness and reflect the idealized forms of processes in natural systems. In the latter sections, the general use of deep learning methods is discussed within the above context, and proposed for effective modeling of the response of a pathogenic virus in a pathogen–host system, which can lead to predictions about mutation and recombination in the virus population.https://www.mdpi.com/2073-8994/14/11/2274population biologypopulation geneticspredator-prey modelLotka–Volterra modeldeep learningvirus evolution
spellingShingle Robert Friedman
A Hierarchy of Interactions between Pathogenic Virus and Vertebrate Host
Symmetry
population biology
population genetics
predator-prey model
Lotka–Volterra model
deep learning
virus evolution
title A Hierarchy of Interactions between Pathogenic Virus and Vertebrate Host
title_full A Hierarchy of Interactions between Pathogenic Virus and Vertebrate Host
title_fullStr A Hierarchy of Interactions between Pathogenic Virus and Vertebrate Host
title_full_unstemmed A Hierarchy of Interactions between Pathogenic Virus and Vertebrate Host
title_short A Hierarchy of Interactions between Pathogenic Virus and Vertebrate Host
title_sort hierarchy of interactions between pathogenic virus and vertebrate host
topic population biology
population genetics
predator-prey model
Lotka–Volterra model
deep learning
virus evolution
url https://www.mdpi.com/2073-8994/14/11/2274
work_keys_str_mv AT robertfriedman ahierarchyofinteractionsbetweenpathogenicvirusandvertebratehost
AT robertfriedman hierarchyofinteractionsbetweenpathogenicvirusandvertebratehost