Parameter estimation for biochemical pathways by resolving inconsistent experimental data
Document Type
Conference Proceeding
Date of Original Version
1-1-2004
Abstract
In this study, a parameter estimation method has been developed for models of biomedical pathways. The inconsistency among experimental data that may come from different sources is reduced. The resulting parameters define a well-behaved mathematical model in the steady state. Based on experimental data collected separately from individual sub steps of a pathway, this approach achieves overall optimization in two steps: flux optimization and individual parameter optimization. The method is useful for identifying an initial state in modeling the dynamics of a biochemical pathway. The method has been effective as applied to a model of glycolysis.
Publication Title, e.g., Journal
Proceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC
Volume
30
Citation/Publisher Attribution
Wu, Jiang, Ying Sun, Li Wu, and Robert L. Rodgers. "Parameter estimation for biochemical pathways by resolving inconsistent experimental data." Proceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC 30, (2004): 71-72. https://digitalcommons.uri.edu/math_facpubs/258