| Publication Type | honors thesis |
| School or College | College of Science |
| Department | Mathematics |
| Faculty Mentor | Sean D. Lawley |
| Creator | Tuft, Marie |
| Title | Quantitative analysis of virus trafficking in a biological cell |
| Year graduated | 2015 |
| Date | 2015-05 |
| Description | Virus replication is a complex process that is important to understand. If a virus is to successfully infect a host cell it must travel from the cell wall to the nucleus by hijacking that cell's existing transport system of microtubules. This motion occurs as two iterated steps: passive diffusion through cell cytosol and active transport along microtubule networks. An existing model shows that this process can be approximated as a stochastic differential equation in the limit as the number of microtubules goes to infinity. We propose a different model which reduces the complex viral trajectory to a much simpler finite state Markov process. Preliminary results show this approximation to be superior to the existing model across several modes of comparison. |
| Type | Text |
| Publisher | University of Utah |
| Subject | Viruses -- Reproduction -- Mathematical models; Virus trafficking |
| Language | eng |
| Rights Management | Copyright © Marie Tuft 2015 |
| Format Medium | application/pdf |
| Format Extent | 2,881,715 bytes |
| Identifier | etd3/id/3622 |
| Permissions Reference URL | https://collections.lib.utah.edu/details?id=1311679 |
| ARK | ark:/87278/s6pc69n1 |
| Setname | ir_htoa |
| ID | 197174 |
| Reference URL | https://collections.lib.utah.edu/ark:/87278/s6pc69n1 |