Stochastic Modeling Of Intracellular Influenza ProductionShow simple item record
dc.contributor.advisor | Dovrovolny, Hana | |
dc.contributor.author | Barth, Dylan | |
dc.date | 2018-05-19 | |
dc.date.accessioned | 2018-11-06T15:22:31Z | |
dc.date.available | 2018-11-06T15:22:31Z | |
dc.date.issued | 2018 | |
dc.identifier.uri | https://repository.tcu.edu/handle/116099117/22471 | |
dc.description.abstract | Influenza is a ubiquitous virus that has a high rate of mutation. Vaccinations and antiviral medications must change with a similarly rapid pace to be effective against this capricious infection. At the inception of the mutation, influenza may produce some combinations of wild type surface proteins, wild type RNA, and mutated versions of both. To better aid understanding of these mutations and pave a path for combating mutated virions, we modify a mathematical model of intracellular replication dynamics created by Heldt et al. to include genetic mutations at varying times. We then measure the effect of the mutation time on the combination of wild type and mutated surface proteins and RNA. | |
dc.subject | Stochastic | |
dc.subject | Modelling | |
dc.subject | Influenza | |
dc.subject | Computational | |
dc.subject | Model | |
dc.subject | Dylan | |
dc.subject | Barth | |
dc.subject | Physics | |
dc.subject | Biophysics | |
dc.subject | Biology | |
dc.title | Stochastic Modeling Of Intracellular Influenza Production | |
etd.degree.department | Physics | |
local.college | College of Science and Engineering | |
local.college | John V. Roach Honors College | |
local.department | Physics and Astronomy |
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Undergraduate Honors Papers [1362]