Journal of Undergraduate Research
Keywords
large-scale models, computational biology, biomedical
College
Ira A. Fulton College of Engineering and Technology
Department
Chemical Engineering
Abstract
Advances in biomedical research have lead to an increase of experimental data to be interpreted in the context of reaction pathways, molecular transport, and population dynamics. Kinetic modeling is one way employed to interpret this data and is used in the pharmaceutical industry in developing clinical trials for new medications [1]. One collection of kinetic models is built on the System Biology Markup Language (SBML). Many of these models have detailed reaction metabolic pathways that describe biological systems, including cause and effect relationships in the human body. While simulations of these biological systems have been successfully applied for many years, the alignment to available measurements continues to be a challenge. The best available solution techniques continue to limit the size of models and measurements to small and medium size problems.
Recommended Citation
Abbott, Casey and Hedengren, Dr. John
(2013)
"New Capabilities in Large-scale Models in Computational Biology,"
Journal of Undergraduate Research: Vol. 2013:
Iss.
1, Article 1789.
Available at:
https://scholarsarchive.byu.edu/jur/vol2013/iss1/1789