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Multi-scale problem in the model of RNA virus evolution

A mathematical or computational model in evolutionary biology should necessary combine several comparatively fast processes, which actually drive natural selection and evolution, with a very slow process of evolution. As a result, several very different time scales are simultaneously present in the...

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Detalles Bibliográficos
Autores principales: Korobeinikov, Andrei, Archibasov, Aleksei, Sobolev, Vladimir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOP Publishing 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7106948/
https://www.ncbi.nlm.nih.gov/pubmed/32288778
http://dx.doi.org/10.1088/1742-6596/727/1/012007
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author Korobeinikov, Andrei
Archibasov, Aleksei
Sobolev, Vladimir
author_facet Korobeinikov, Andrei
Archibasov, Aleksei
Sobolev, Vladimir
author_sort Korobeinikov, Andrei
collection PubMed
description A mathematical or computational model in evolutionary biology should necessary combine several comparatively fast processes, which actually drive natural selection and evolution, with a very slow process of evolution. As a result, several very different time scales are simultaneously present in the model; this makes its analytical study an extremely difficult task. However, the significant difference of the time scales implies the existence of a possibility of the model order reduction through a process of time separation. In this paper we conduct the procedure of model order reduction for a reasonably simple model of RNA virus evolution reducing the original system of three integro-partial derivative equations to a single equation. Computations confirm that there is a good fit between the results for the original and reduced models.
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spelling pubmed-71069482020-04-03 Multi-scale problem in the model of RNA virus evolution Korobeinikov, Andrei Archibasov, Aleksei Sobolev, Vladimir J Phys Conf Ser Paper A mathematical or computational model in evolutionary biology should necessary combine several comparatively fast processes, which actually drive natural selection and evolution, with a very slow process of evolution. As a result, several very different time scales are simultaneously present in the model; this makes its analytical study an extremely difficult task. However, the significant difference of the time scales implies the existence of a possibility of the model order reduction through a process of time separation. In this paper we conduct the procedure of model order reduction for a reasonably simple model of RNA virus evolution reducing the original system of three integro-partial derivative equations to a single equation. Computations confirm that there is a good fit between the results for the original and reduced models. IOP Publishing 2016-06 /pmc/articles/PMC7106948/ /pubmed/32288778 http://dx.doi.org/10.1088/1742-6596/727/1/012007 Text en Published under licence by IOP Publishing Ltd https://creativecommons.org/licenses/by/3.0/Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence (https://creativecommons.org/licenses/by/3.0/) . Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
spellingShingle Paper
Korobeinikov, Andrei
Archibasov, Aleksei
Sobolev, Vladimir
Multi-scale problem in the model of RNA virus evolution
title Multi-scale problem in the model of RNA virus evolution
title_full Multi-scale problem in the model of RNA virus evolution
title_fullStr Multi-scale problem in the model of RNA virus evolution
title_full_unstemmed Multi-scale problem in the model of RNA virus evolution
title_short Multi-scale problem in the model of RNA virus evolution
title_sort multi-scale problem in the model of rna virus evolution
topic Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7106948/
https://www.ncbi.nlm.nih.gov/pubmed/32288778
http://dx.doi.org/10.1088/1742-6596/727/1/012007
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