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ABSTRACT: This a model from the article: This model was taken from the CellML repository and automatically converted to SBML. 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. 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..
Population dynamics of immune responses to persistent viruses.
Nowak MA, Bangham CR. Science 1996 Apr 5;272(5258):74-9 8600540 ,
Abstract:
Mathematical models, which are based on a firm understanding of biologicalinteractions, can provide nonintuitive insights into the dynamics of hostresponses to infectious agents and can suggest new avenues for experimentation.Here, a simple mathematical approach is developed to explore the relationbetween antiviral immune responses, virus load, and virus diversity. The modelresults are compared to data on cytotoxic T cell responses and viral diversityin infections with the human T cell leukemia virus (HTLV-1) and the humanimmunodeficiency virus (HIV-1).
The original model was: Nowak MA, Bangham CR. (1996) - version=1.0
The original CellML model was created by:
Ethan Choi
mcho099@aucklanduni.ac.nz
The University of Auckland
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.
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.
ORGANISM(S): Homo sapiens
SUBMITTER: Camille Laibe
PROVIDER: MODEL1006230050 | biostudies-other |
SECONDARY ACCESSION(S): 8600540
REPOSITORIES: biostudies-other

Science (New York, N.Y.) 19960401 5258
Mathematical models, which are based on a firm understanding of biological interactions, can provide nonintuitive insights into the dynamics of host responses to infectious agents and can suggest new avenues for experimentation. Here, a simple mathematical approach is developed to explore the relation between antiviral immune responses, virus load, and virus diversity. The model results are compared to data on cytotoxic T cell responses and viral diversity in infections with the human T cell leu ...[more]