Stochastic modelling of the MAPK signalling pathway

Date

2006-06-01

Author

Purutçuoğlu Gazi, Vilda

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The MAPK (mitogen-activated protein kinase) or its synonymous ERK (extracellular signal regulated kinase) pathway whose components are Ras, Raf, and MEK proteins with many biochemical links, is one of the major signalling systems involved in cellular growth control of eukaryotes including cell proliferation, transformation, differentiation, and apoptosis. Because of its diverse functionality, it is also activated in a variety of hormone activation and many illnesses, which have multi-complex gene structure like cancer and heart diseases. In this study we describe the MAPK/ERK pathway via (quasi) biochemical reactions and then implement the pathway by a stochastic Markov process. We use two techniques, Gillespie algorithm and diffusion approximation, to simulate reactions and we compare their results. A novelty of our approach is to use multiple parametrizations in order to deal with molecules for which localization in the cell is an intricate part of the dynamic process.

Subject Keywords

MAPK pathway, Stochastic simulation, Multiple parametrization

URI

https://hdl.handle.net/11511/87671
http://www.statmod.org/workshops_archive_proceedings_2006.htm

Conference Name

21st International Workshop on Statistical Modelling July 3–7 2006

Collections

Department of Statistics, Conference / Seminar

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Citation Formats

V. Purutçuoğlu Gazi, “Stochastic modelling of the MAPK signalling pathway,” Galway, Ireland, 2006, p. 431, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/87671.