Paper Info
Title
Computational Modeling of Cell Survival/ Death Using MATLAB Simulator
Abstract
Cell growth and cell division are fundamental aspects of cell behavior in all organisms. Recent insights from many model organisms have shed light on the molecular mechanisms that control cell growth and cell division. A significant body of evidence has now been accumulated, showing a direct link between deregulation of components of cell cycle machinery and cancer. Cancer can be described as a genetic disease. Three types of genes are affected: tumour-suppressor genes, oncogenes and stability genes. p53 functions as a dasiagatekeeperpsila inducing cell-cycle arrest or programmed cell death (apoptosis). Knowledge of the molecular basis of cancer has already had a profound impact on the management of paediatric tumours and promises to continue to contribute significantly in the future. The model for cell survival and death has been implemented using MATLAB taking three input signals: tumor necrosis factor-alpha (TNF), Epidermal growth factor (EGF) and Insulin.
Year
DOI
Venue
2009
10.1109/ITNG.2009.101
Las Vegas, NV
Keywords
Field
DocType
molecular basis,cell survival,cell division,epidermal growth factor,matlab simulator,programmed cell death,cell cycle machinery,computational modeling,model organism,control cell growth,cell behavior,cell growth,cell cycle,insulin,cell cycle arrest,stability,tumor necrosis factor,computer model,tumor necrosis factor a,machinery,molecular mechanics,genetics,proteins,tumor necrosis factor alpha,akt,apoptosis,molecular biophysics,mathematical model,cancer,organisms
Cell division,Computer science,Cell growth,Cell biology,Cell,Epidermal growth factor,Cell cycle,Bioinformatics,Model organism,Programmed cell death,Cancer,Distributed computing
Conference
ISBN
Citations 
PageRank 
978-0-7695-3596-8
0
0.34
References 
Authors
1
4
Name
Order
Citations
PageRank
S. Jain101.35
P. K. Naik201.01
Durg Singh Chauhan313221.73
Rohit Sharma400.34