Mol. Cells 2008; 25(3): 397-406
Published online January 1, 1970
© The Korean Society for Molecular and Cellular Biology
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.
Keywords Biochemical Pathway, Computational Modeling, MAPK, PI3K/Akt, Signal Transduction, Systems Biology
Mol. Cells 2008; 25(3): 397-406
Published online May 31, 2008
Copyright © The Korean Society for Molecular and Cellular Biology.
Suresh Babu CV, Sheikh Md. Enayetul Babar, Eun Joo Song, Eulsik Oh and Young Sook Yoo
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.
Keywords: Biochemical Pathway, Computational Modeling, MAPK, PI3K/Akt, Signal Transduction, Systems Biology
Hojin Ryu, Carole Laffont, Florian Frugier, and Ildoo Hwang
Mol. Cells 2017; 40(1): 17-23 https://doi.org/10.14348/molcells.2017.2211Yura Lee, Kyoung Jun Bae, Hae Jung Chon, Seong Hwan Kim, Soon Ae Kim, and Jiyeon Kim
Mol. Cells 2016; 39(5): 389-394 https://doi.org/10.14348/molcells.2016.2300So Yeun Kim, Seung-Jun Yoo, Gabriele V Ronnett, Eun-Kyoung Kim, and Cheil Moon
Mol. Cells 2015; 38(6): 535-539 https://doi.org/10.14348/molcells.2015.0038