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Abstract:
This paper investigates the influence of the Raf Kinase Inhibitor Pro- tein (RKIP) on the Extracellular signal Regulated Kinase (ERK) signaling pathway through mathematical modeling and simulation. Using nonlinear ordi- nary differential equations to represent biochemical reactions in the pathway, we suggest a technique for parameter estimation, utilizing time series data of proteins involved in the signaling pathway. The mathematical model allows the simulation the sensitivity of the ERK pathway to variations of initial RKIP and ERK-PP (phosphorylated ERK) concentrations along with time. Throughout the simulation study, we can qualitatively validate the proposed mathematical model compared with experimental results.
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Mathematical Modeling of the Influence of RKIP on the ERK Signaling Pathway
- Computational Methods in Systems Biology: First International Workshop, CMSB 2003 Rovereto, Italy, February 24â??26, 2003 Proceedings , 2/ 2019 , DOI: 10.1007/3-540-36481-1_11
- School of Electrical Engineering, University of Ulsan; Dept. of Biomolecular Sciences and Dept. of Electrical Engineering and Electronics UMIST, Manchester; Beatson Institute for Cancer Research, Cancer Research UK ; Organon Laboratories, Newhouse, Motherwell; Institute of Biomedical and Life Sciences, University of Glasgow
- This paper investigates the influence of the Raf Kinase Inhibitor Pro- tein (RKIP) on the Extracellular signal Regulated Kinase (ERK) signaling pathway through mathematical modeling and simulation. Using nonlinear ordi- nary differential equations to represent biochemical reactions in the pathway, we suggest a technique for parameter estimation, utilizing time series data of proteins involved in the signaling pathway. The mathematical model allows the simulation the sensitivity of the ERK pathway to variations of initial RKIP and ERK-PP (phosphorylated ERK) concentrations along with time. Throughout the simulation study, we can qualitatively validate the proposed mathematical model compared with experimental results.
Submitter of this revision: Lucian Smith
Curator: Lucian Smith
Modellers: administrator, Emma Fairbanks, Rahuman S Malik-Sheriff
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Mathematical Modelling Ontology Ordinary differential equation model
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