Kinetic analysis of the MAPK and PI3K/Akt signaling pathways

Computational modeling of signal transduction is currently attracting much attention as it can promote the understanding of complex signal transduction mechanisms. Although several mathematical models have been used to examine signaling pathways, little attention has been given to crosstalk mechanis...

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Bibliographic Details
Published in:Molecules and cells 2008, 25(3), , pp.397-406
Main Authors: Babu CV, Suresh (Korea Institute of Science and Technology, Seoul, Republic of Korea), Enayetul Babar, Sheikh Md. (Korea Institute of Science and Technology, Seoul, Republic of Korea), Song, E.J. (Korea Institute of Science and Technology, Seoul, Republic of Korea), Oh, E.S. (Korea Institute of Science and Technology, Seoul, Republic of Korea), Yoo, Y.S. (Korea Institute of Science and Technology, Seoul, Republic of Korea), E-mail: ysyoo@kist.re.kr
Format: Article
Language:English
Subjects:
BIOCHEMICAL PATHWAYS
computational modeling
Computer Simulation
Enzyme Inhibitors - pharmacology
ErbB Receptors - metabolism
Extracellular Signal-Regulated MAP Kinases - metabolism
Kinetics
MAP Kinase Signaling System
MAPK
Models, Biological
Phosphatidylinositol 3-Kinases - metabolism
PI3K/Akt
Proto-Oncogene Proteins c-akt - metabolism
raf Kinases - metabolism
Receptor, Nerve Growth Factor - metabolism
signal transduction
systems biology
VIA BIOQUIMICA DEL METABOLISMO
VOIE BIOCHIMIQUE DU METABOLISME
생물학
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Summary:Computational modeling of signal transduction is currently attracting much attention as it can promote the understanding of complex signal transduction mechanisms. Although several mathematical models have been used to examine signaling pathways, little attention has been given to crosstalk mechanisms. In this study, an attempt was made to develop a computational model for the pathways involving growth-factor-mediated mitogen-activated protein kinase (MAPK) and phosphatidylinositol 3'-kinase/protein kinase B (PI3K/Akt). In addition, the dynamics of the protein activities were analyzed based on a set of kinetic data. The simulation approach integrates the information on several levels and predicts systems behavior. The in-silico analysis conducted revealed that the Raf and Akt pathways act independently.
ISSN:1016-8478
0219-1032
DOI:10.1016/S1016-8478(23)17598-4