Computational modeling approaches to studying the dynamics of oncolytic viruses
Oncolytic viruses specifically infect cancer cells, replicate in them, killthem, and spread to further tumor cells. They represent a targeted treatmentapproach that is promising in principle, but consistent success has yet tobe observed. Mathematical models can play an important role in analyzing th...
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Language: | English |
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AIMS Press
2013-03-01
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Series: | Mathematical Biosciences and Engineering |
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Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2013.10.939 |
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author | Dominik Wodarz |
author_facet | Dominik Wodarz |
author_sort | Dominik Wodarz |
collection | DOAJ |
description | Oncolytic viruses specifically infect cancer cells, replicate in them, killthem, and spread to further tumor cells. They represent a targeted treatmentapproach that is promising in principle, but consistent success has yet tobe observed. Mathematical models can play an important role in analyzing thedynamics between oncolytic viruses and a growing tumor cell population,providing insights that can be useful for the further development of thistherapy approach. This article reviews different mathematical modelingapproaches ranging from ordinary differential equations to spatiallyexplicit agent-based models. Problems of model robustness are discussed andso are some clinically important insight derived from the models. |
format | Article |
id | doaj-art-3f9f23fda5e841c889c11afd95a9e90a |
institution | Kabale University |
issn | 1551-0018 |
language | English |
publishDate | 2013-03-01 |
publisher | AIMS Press |
record_format | Article |
series | Mathematical Biosciences and Engineering |
spelling | doaj-art-3f9f23fda5e841c889c11afd95a9e90a2025-01-24T02:26:12ZengAIMS PressMathematical Biosciences and Engineering1551-00182013-03-0110393995710.3934/mbe.2013.10.939Computational modeling approaches to studying the dynamics of oncolytic virusesDominik Wodarz0Department of Ecology and Evolutionary Biology, University of California, 321 Steinhaus Hall, Irvine, CA 92617Oncolytic viruses specifically infect cancer cells, replicate in them, killthem, and spread to further tumor cells. They represent a targeted treatmentapproach that is promising in principle, but consistent success has yet tobe observed. Mathematical models can play an important role in analyzing thedynamics between oncolytic viruses and a growing tumor cell population,providing insights that can be useful for the further development of thistherapy approach. This article reviews different mathematical modelingapproaches ranging from ordinary differential equations to spatiallyexplicit agent-based models. Problems of model robustness are discussed andso are some clinically important insight derived from the models.https://www.aimspress.com/article/doi/10.3934/mbe.2013.10.939therapymathematical modelsoncolytic virusesspatial dynamics.cancerpopulation dynamics |
spellingShingle | Dominik Wodarz Computational modeling approaches to studying the dynamics of oncolytic viruses Mathematical Biosciences and Engineering therapy mathematical models oncolytic viruses spatial dynamics. cancer population dynamics |
title | Computational modeling approaches to studying the dynamics of oncolytic viruses |
title_full | Computational modeling approaches to studying the dynamics of oncolytic viruses |
title_fullStr | Computational modeling approaches to studying the dynamics of oncolytic viruses |
title_full_unstemmed | Computational modeling approaches to studying the dynamics of oncolytic viruses |
title_short | Computational modeling approaches to studying the dynamics of oncolytic viruses |
title_sort | computational modeling approaches to studying the dynamics of oncolytic viruses |
topic | therapy mathematical models oncolytic viruses spatial dynamics. cancer population dynamics |
url | https://www.aimspress.com/article/doi/10.3934/mbe.2013.10.939 |
work_keys_str_mv | AT dominikwodarz computationalmodelingapproachestostudyingthedynamicsofoncolyticviruses |