Abstract
| Original language | English |
|---|---|
| Title of host publication | Proceedings 2009 International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing (IJCBS) |
| Editors | Heng Huang, Sumanth Yenduri, Zhongming Zhao |
| Place of Publication | USA |
| Publisher | IEEE, Institute of Electrical and Electronics Engineers |
| Pages | 457 - 462 |
| Number of pages | 6 |
| ISBN (Print) | 9780769537399 |
| Publication status | Published - 2009 |
| Event | International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing 2009 - Shanghai China, USA Duration: 1 Jan 2009 → … |
Conference
| Conference | International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing 2009 |
|---|---|
| Abbreviated title | IJCBS |
| City | USA |
| Period | 1/01/09 → … |
Cite this
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Estimation of kinetic rates of MAP kinase activation from experimental data. / Tian, Tianhai.
Proceedings 2009 International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing (IJCBS). ed. / Heng Huang; Sumanth Yenduri; Zhongming Zhao. USA : IEEE, Institute of Electrical and Electronics Engineers, 2009. p. 457 - 462.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
TY - GEN
T1 - Estimation of kinetic rates of MAP kinase activation from experimental data
AU - Tian, Tianhai
PY - 2009
Y1 - 2009
N2 - Mathematical model is an important tool in systems biology to study the dynamics of biological systems inside the cell. One of the significant challenges in systems biology is the lack of kinetic rates that should be measured in experiments or estimated from experimental data. This work addresses this issue by using a genetic algorithm to estimate reaction rates related to the phosphorylation and dephosphorylation of MAP kinase (ERK) in the mitogen-activated protein (MAP) kinase pathway from biological measurements. In addition, we discuss the robustness of the mathematical model with regards to the variation of kinetic rates together with external noise due to environmental fluctuations. This has been proposed as an additional criterion to choose the estimate from the candidate parameter sets that are obtained from different implementations of the genetic algorithm.
AB - Mathematical model is an important tool in systems biology to study the dynamics of biological systems inside the cell. One of the significant challenges in systems biology is the lack of kinetic rates that should be measured in experiments or estimated from experimental data. This work addresses this issue by using a genetic algorithm to estimate reaction rates related to the phosphorylation and dephosphorylation of MAP kinase (ERK) in the mitogen-activated protein (MAP) kinase pathway from biological measurements. In addition, we discuss the robustness of the mathematical model with regards to the variation of kinetic rates together with external noise due to environmental fluctuations. This has been proposed as an additional criterion to choose the estimate from the candidate parameter sets that are obtained from different implementations of the genetic algorithm.
UR - http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=05260417
M3 - Conference Paper
SN - 9780769537399
SP - 457
EP - 462
BT - Proceedings 2009 International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing (IJCBS)
A2 - Huang, Heng
A2 - Yenduri, Sumanth
A2 - Zhao, Zhongming
PB - IEEE, Institute of Electrical and Electronics Engineers
CY - USA
ER -