Journal of Undergraduate Research
Keywords
design space, oscillartory biological networks, Manifold Boundary Approximation Method, MBAM
College
Physical and Mathematical Sciences
Department
Physics and Astronomy
Abstract
Characterizing the relevant parameters of a design space in order to satisfy a specific behavior criterion is an important problem throughout all of science and engineering. In this project we proposed to apply model reduction to the case of biological oscillations involving Michaelis-Menten reactions. By removing irrelevant parameters from a fully connected network we were able to reduce a known problem in systems biology to a more general model. Furthermore, significant progress has been made in applying Manifold Boundary Approximation Method (MBAM) to oscillatory models in systems biology.
Recommended Citation
Lunsford, Leanne; Stephens, Denise; and Hintz, Eric
(2017)
"Characterizing the Design Space of Oscillatory Biological Networks,"
Journal of Undergraduate Research: Vol. 2017:
Iss.
1, Article 305.
Available at:
https://scholarsarchive.byu.edu/jur/vol2017/iss1/305