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 |