Parameter estimation for biochemical pathways by resolving inconsistent experimental data

Authors

Jiang Wu, University of Rhode Island
Ying Sun, University of Rhode Island
Li Wu, University of Rhode Island
Robert L. Rodgers, University of Rhode Island

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