Agent-based modeling of host–pathogen systems: The successes and challenges

Agent-based models have been employed to describe numerous processes in immunology. Simulations based on these types of models have been used to enhance our understanding of immunology and disease pathology. We review various agent-based models relevant to host–pathogen systems and discuss their con...

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Detalles Bibliográficos
Autores principales: Bauer, Amy L., Beauchemin, Catherine A.A., Perelson, Alan S.
Formato: Texto
Lenguaje:English
Publicado: Elsevier Inc. Published by Elsevier Inc. 2009
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2731970/
https://www.ncbi.nlm.nih.gov/pubmed/20161146
http://dx.doi.org/10.1016/j.ins.2008.11.012
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author Bauer, Amy L.
Beauchemin, Catherine A.A.
Perelson, Alan S.
author_facet Bauer, Amy L.
Beauchemin, Catherine A.A.
Perelson, Alan S.
author_sort Bauer, Amy L.
collection PubMed
description Agent-based models have been employed to describe numerous processes in immunology. Simulations based on these types of models have been used to enhance our understanding of immunology and disease pathology. We review various agent-based models relevant to host–pathogen systems and discuss their contributions to our understanding of biological processes. We then point out some limitations and challenges of agent-based models and encourage efforts towards reproducibility and model validation.
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spelling pubmed-27319702020-03-25 Agent-based modeling of host–pathogen systems: The successes and challenges Bauer, Amy L. Beauchemin, Catherine A.A. Perelson, Alan S. Inf Sci (N Y) Article Agent-based models have been employed to describe numerous processes in immunology. Simulations based on these types of models have been used to enhance our understanding of immunology and disease pathology. We review various agent-based models relevant to host–pathogen systems and discuss their contributions to our understanding of biological processes. We then point out some limitations and challenges of agent-based models and encourage efforts towards reproducibility and model validation. Elsevier Inc. Published by Elsevier Inc. 2009-04-29 2008-11-24 /pmc/articles/PMC2731970/ /pubmed/20161146 http://dx.doi.org/10.1016/j.ins.2008.11.012 Text en Copyright © 2008 Elsevier Inc. Published by Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Bauer, Amy L.
Beauchemin, Catherine A.A.
Perelson, Alan S.
Agent-based modeling of host–pathogen systems: The successes and challenges
title Agent-based modeling of host–pathogen systems: The successes and challenges
title_full Agent-based modeling of host–pathogen systems: The successes and challenges
title_fullStr Agent-based modeling of host–pathogen systems: The successes and challenges
title_full_unstemmed Agent-based modeling of host–pathogen systems: The successes and challenges
title_short Agent-based modeling of host–pathogen systems: The successes and challenges
title_sort agent-based modeling of host–pathogen systems: the successes and challenges
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2731970/
https://www.ncbi.nlm.nih.gov/pubmed/20161146
http://dx.doi.org/10.1016/j.ins.2008.11.012
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