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William E. Schiesser - Virus Host Cell Genetic Material Transport: Computational ODE/PDE Modeling with R

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William E. Schiesser Virus Host Cell Genetic Material Transport: Computational ODE/PDE Modeling with R
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Virus Host Cell Genetic Material Transport: Computational ODE/PDE Modeling with R: summary, description and annotation

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The reproduction and spread of a virus during an epidemic proceeds when the virus attaches to a host cell and viral genetic material (VGM) (protein, DNA, RNA) enters the cell, then replicates, and perhaps mutates, in the cell. The movement of the VGM across the host cell outer membrane and within the host cell is a spatiotemporal dynamic process that is modeled in this book as a system of ordinary and partial dierential equations (ODE/PDEs).

The movement of the virus proteins through the cell membrane is modeled as a diffusion process expressed by the diusion PDE (Ficks second law). Within the cell, the time variation of the VGM is modeled as ODEs. The evolution of the dependent variables is computed by the numerical integration of the ODE/PDEs starting from zero initial conditions (ICs). The departure of the dependent variables from zero is in response to the virus protein concentration at the outer membrane surface (the point at which the virus binds to the host cell).

The numerical integration of the ODE/PDEs is performed with routines coded (programmed) in R, a quality, open-source scientic computing system that is readily available from the Internet. Formal mathematics is minimized, e.g., no theorems and proofs. Rather, the presentation is through detailed examples that the reader/researcher/analyst can execute on modest computers. The ODE/PDE dependent variables are displayed graphically with basic R plotting utilities.

The R routines are available from a download link so that the example models can be executed without having to rst study numerical methods and computer coding. The routines can then be applied to variations and extensions of the ODE/PDE model, such as changes in the parameters and the form of the model equations.

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Book cover of Virus Host Cell Genetic Material Transport William E - photo 1
Book cover of Virus Host Cell Genetic Material Transport
William E. Schiesser
Virus Host Cell Genetic Material Transport
Computational ODE/PDE Modeling with R
Logo of the publisher William E Schiesser Lehigh University Bethlehem - photo 2
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William E. Schiesser
Lehigh University, Bethlehem, PA, USA
ISBN 978-3-030-68864-6 e-ISBN 978-3-030-68865-3
https://doi.org/10.1007/978-3-030-68865-3
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed.
The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use.
The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This Springer imprint is published by the registered company Springer Nature Switzerland AG

The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland

Preface
The reproduction and spread (dispersion, diffusion) of a virus during an epidemic proceeds when the virus attaches (adheres, binds, fuses) to a host cell and viral genetic material (VGM) (protein, DNA, RNA) enters (invades, penetrates) the cell, then replicates, and perhaps mutates, in the cell. This process of a virus host cell interaction is described in [1]:

It has been known for decades that once a virus gets inside a cell, it hijacks the cellular processes to produce virally encoded protein that will replicate the viruss genetic material. Viral mechanisms are capable of translocating proteins and genetic material from the cell and assembling them into new virus particles.

The virus replication within the host cell is described in [1]:

An individual viral particle, called a virion, is a far simpler structure than a bacterium. It has often been questioned whether a virus is alive. It is certainly not living in the everyday sense of the word. Virions consist of genetic materialDNA or RNA enclosed in a protein coating. Many viruses, called enveloped viruses, have an additional outer membrane that encloses the protein coat. This membrane envelope is material co-opted from the cells own membrane. As the new virion buds out from an infected host cell, it is wrapped by the cells bilayer membrane and carries with it any protein that happens to be embedded in the membrane at the budding site. Enveloped viruses are then free to begin a new cycle of infection by fusing their cell-derived envelope with the cellular membrane of an uninfected cell.

The movement of the VGM across the host cell outer membrane is a spatiotemporal dynamic process that is modeled in this book as a system of ordinary and partial differential equations (ODE/PDEs). First, a ODE/PDE model is developed for a single protein transmitted from the virus through the cell membrane into the cell interior where it replicates, and possibly mutates.

The movement of the virus protein through the cell membrane is modeled as a diffusion process expressed by the diffusion PDE (Ficks second law) with dependent variable V1(x, t), and independent variables x, the position in the membrane, and t, time. Within the cell, the time variation of the VGM is modeled as an ODE with dependent variable C1(t). The subscript 1 denotes the first virus protein considered.

The single protein model is then extended to the replication, and possibly mutation, of the virus protein within the cell interior to produce additional virus proteins that diffuse out through the cell membrane where they can infect other host cells.

The model time scale in minutes is 0t240 (four hours), and the evolution of the dependent variables is computed by the numerical integration of the ODE/PDEs from zero initial conditions (IC) V1(x, t=0)=C1(t=0)=0. The departure of the dependent variables from zero is in response to the virus protein concentration at the outer membrane surface (the point at which the virus binds to the host cell).

The numerical integration of the ODE/PDE model equations is performed with routines coded (programmed) in R, a quality, open-source scientific computing system that is readily available from the Internet. Formal mathematics is minimized, e.g., no theorems and proofs. Rather, the presentation is through detailed examples that the reader/researcher/analyst can execute on modest computers. The ODE dependent variables are plotted against t and the PDE dependent variables are plotted against x and t with basic R plotting utilities. The solution is by the numerical method of lines (MOL), an established general algorithm for ODE/PDE systems.

As extensions of the ODE/PDE models,

  • The flux of virus proteins at the outer cell membrane boundary is computed and plotted against t. Also, a hypothesized vaccine is included by variations in the entering flux at the cell membrane outer surface.

  • A therapeutic drug is hypothesized to vary the rate of VGM production within the cell.

  • The RHS terms and LHS derivatives in t are computed and plotted as an indication of the origin of the solution properties.

  • Cross diffusion between two virus proteins in the cell membrane is implemented within the MOL framework.

The R routines are available from a download link so that the example models can be executed without having to first study numerical methods and computer coding. The routines can then be applied to variations and extensions of the ODE/PDE model, such as changes in the parameters and the form of the model equations.

The author would welcome comments/suggestions concerning this approach to the analysis of the virus host cell dynamics (directed to wes1@lehigh.edu).

[1] Cohen, F.S. (2016), How Viruses Invade Cells, Biophysical Journal, , pp 10261032

W. E. Schiesser
Bethlehem, PA, USA
Contents
The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
W. E. Schiesser Virus Host Cell Genetic Material Transport https://doi.org/10.1007/978-3-030-68865-3_1
1. Virus Protein ODE/PDE Models
William E. Schiesser
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