Nelson1995_HIV1therapy_DIVadministraion_ModelB

This a model from the article:
Modeling defective interfering virus therapy for AIDS: conditions for DIV
survival.

Nelson GW, Perelson AS. Math Biosci
1995 Feb;125(2):127-53 7881191
,
Abstract:

The administration of a genetically engineered defective interfering virus (DIV)
that interferes with HIV-1 replication has been proposed as a therapy for HIV-1
infection and AIDS. The proposed interfering virus, which is designed to
superinfect HIV-1 infected cells, carries ribozymes that cleave conserved
regions in HIV-1 RNA that code for the viral envelope protein. Thus DIV
infection of HIV-1 infected cells should reduce or eliminate viral production by
these cells. The success of this therapeutic strategy will depend both on the
intercellular interaction of DIV and HIV-1, and on the overall dynamics of virus
and T cells in the body. To study these dynamical issues, we have constructed a
mathematical model of the interaction of HIV-1, DIV, and CD4+ cells in vivo. The
results of both mathematical analysis and numerical simulation indicate that
survival of the engineered DIV purely on a peripheral blood HIV-1 infection is
unlikely. However, analytical results indicate that DIV might well survive on
HIV-1 infected CD4+ cells in lymphoid organs such as lymph nodes and spleen, or
on other HIV-1 infected cells in these organs.
This model was taken from the CellML repository
and automatically converted to SBML.
The original model was:
Nelson GW, Perelson AS. (1995) - version=1.0

The original CellML model was created by:
Ethan Choi

[e-mail]
The University of Auckland
This model originates from BioModels Database: A Database of Annotated Published Models (http://www.ebi.ac.uk/biomodels/). It is copyright (c) 2005-2011 The BioModels.net Team.
To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication
for more information.
In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not..

To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.