DocumentCode :
1910779
Title :
Modeling of Biochemical Pathways: Physical Interpretation of Network Behavior
Author :
Sarvia, Tricia A. ; Sun, Ying
Author_Institution :
Biomedical Engineering Program, Department of Electrical and Computer Engineering, University of Rhode Island, Kingston, RI 02881
fYear :
2006
fDate :
2006
Firstpage :
141
Lastpage :
142
Abstract :
The development of computational models allows one to easily reveal certain behaviors of the biochemical network of interest. In this project we seek to represent the set of rate equations used to describe the dynamics of a system with a common physical model. This allows for the reduction of such complexities that can restrict the model´s overall stability. Conclusions from preliminary data have shown that the model produces valid results consistent with experimental data. We also have tested the model´s reliability by reversing the reaction´s driving potential. It has been concluded that this modeling approach gives logical and consistent results. The next phase of this project would be to apply this approach to a larger biochemical process, such as glycolysis.
Keywords :
Biochemistry; Biomedical computing; Biomedical engineering; Computational modeling; Computer networks; Nonlinear equations; Physics computing; Stability; Sun; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioengineering Conference, 2006. Proceedings of the IEEE 32nd Annual Northeast
Conference_Location :
Easton, PA, USA
Print_ISBN :
0-7803-9563-8
Type :
conf
DOI :
10.1109/NEBC.2006.1629792
Filename :
1629792
Link To Document :
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