A Robust and Efficient Numerical Method for RNA-Mediated Viral Dynamics

The multiscale model of hepatitis C virus (HCV) dynamics, which includes intracellular viral RNA (vRNA) replication, has been formulated in recent years in order to provide a new conceptual framework for understanding the mechanism of action of a variety of agents for the treatment of HCV. We presen...

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Autores principales: Reinharz, Vladimir, Churkin, Alexander, Dahari, Harel, Barash, Danny
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6404971/
https://www.ncbi.nlm.nih.gov/pubmed/30854378
http://dx.doi.org/10.3389/fams.2017.00020
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author Reinharz, Vladimir
Churkin, Alexander
Dahari, Harel
Barash, Danny
author_facet Reinharz, Vladimir
Churkin, Alexander
Dahari, Harel
Barash, Danny
author_sort Reinharz, Vladimir
collection PubMed
description The multiscale model of hepatitis C virus (HCV) dynamics, which includes intracellular viral RNA (vRNA) replication, has been formulated in recent years in order to provide a new conceptual framework for understanding the mechanism of action of a variety of agents for the treatment of HCV. We present a robust and efficient numerical method that belongs to the family of adaptive stepsize methods and is implicit, a Rosenbrock type method that is highly suited to solve this problem. We provide a Graphical User Interface that applies this method and is useful for simulating viral dynamics during treatment with anti-HCV agents that act against HCV on the molecular level.
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spelling pubmed-64049712019-03-07 A Robust and Efficient Numerical Method for RNA-Mediated Viral Dynamics Reinharz, Vladimir Churkin, Alexander Dahari, Harel Barash, Danny Front Appl Math Stat Article The multiscale model of hepatitis C virus (HCV) dynamics, which includes intracellular viral RNA (vRNA) replication, has been formulated in recent years in order to provide a new conceptual framework for understanding the mechanism of action of a variety of agents for the treatment of HCV. We present a robust and efficient numerical method that belongs to the family of adaptive stepsize methods and is implicit, a Rosenbrock type method that is highly suited to solve this problem. We provide a Graphical User Interface that applies this method and is useful for simulating viral dynamics during treatment with anti-HCV agents that act against HCV on the molecular level. 2017-10-31 2017-10 /pmc/articles/PMC6404971/ /pubmed/30854378 http://dx.doi.org/10.3389/fams.2017.00020 Text en http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Article
Reinharz, Vladimir
Churkin, Alexander
Dahari, Harel
Barash, Danny
A Robust and Efficient Numerical Method for RNA-Mediated Viral Dynamics
title A Robust and Efficient Numerical Method for RNA-Mediated Viral Dynamics
title_full A Robust and Efficient Numerical Method for RNA-Mediated Viral Dynamics
title_fullStr A Robust and Efficient Numerical Method for RNA-Mediated Viral Dynamics
title_full_unstemmed A Robust and Efficient Numerical Method for RNA-Mediated Viral Dynamics
title_short A Robust and Efficient Numerical Method for RNA-Mediated Viral Dynamics
title_sort robust and efficient numerical method for rna-mediated viral dynamics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6404971/
https://www.ncbi.nlm.nih.gov/pubmed/30854378
http://dx.doi.org/10.3389/fams.2017.00020
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