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Virus Host Cell Genetic Material Transport
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Virus Host Cell Genetic Material Transport : Computational ODE/PDE Modeling with R

2022 ed.

Book Details

Format Paperback / Softback
ISBN-10 3030688674
ISBN-13 9783030688677
Edition 2022 ed.
Publisher Springer Nature Switzerland AG
Imprint Springer Nature Switzerland AG
Country of Manufacture GB
Country of Publication GB
Publication Date Dec 3rd, 2022
Print length 170 Pages
Ksh 19,800.00
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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 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 di?erential equations (ODE/PDEs). 

The movement of the virus proteins through the cell membrane is modeled as a diffusion process expressed by the di?usion PDE (Fick''s 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 scienti?c 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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