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dc.contributor.advisorDovrovolny, Hana
dc.contributor.authorBarth, Dylan
dc.date2018-05-19
dc.date.accessioned2018-11-06T15:22:31Z
dc.date.available2018-11-06T15:22:31Z
dc.date.issued2018
dc.identifier.urihttps://repository.tcu.edu/handle/116099117/22471
dc.description.abstractInfluenza 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.subjectStochastic
dc.subjectModelling
dc.subjectInfluenza
dc.subjectComputational
dc.subjectModel
dc.subjectDylan
dc.subjectBarth
dc.subjectPhysics
dc.subjectBiophysics
dc.subjectBiology
dc.titleStochastic Modeling Of Intracellular Influenza Production
etd.degree.departmentPhysics
local.collegeCollege of Science and Engineering
local.collegeJohn V. Roach Honors College
local.departmentPhysics and Astronomy


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