Abstract
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.
| Original language | English |
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| 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 |
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| Abbreviated title | IJCBS |
| City | USA |
| Period | 1/01/09 → … |