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2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05)
A Diffusion Model to Estimate the Inter-arrival Time of Charged Molecules in Stochastic Event based Modeling of Complex Biological Networks
Stanford, California
August 08-August 11
ISBN: 0-7695-2442-7
ASCII Text
x 
 
Preetam Ghosh, Samik Ghosh, Kalyan Basu, Sajal Das, "A Diffusion Model to Estimate the Inter-arrival Time of Charged Molecules in Stochastic Event based Modeling of Complex Biological Networks," 2005 IEEE Computational Systems Bioinformatics Conference - Workshops, pp. 19-22, 2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05), 2005.
 
 
BibTex
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@article{ 10.1109/CSBW.2005.6,
author = {Preetam Ghosh and Samik Ghosh and Kalyan Basu and Sajal Das},
title = {A Diffusion Model to Estimate the Inter-arrival Time of Charged Molecules in Stochastic Event based Modeling of Complex Biological Networks},
journal ={2005 IEEE Computational Systems Bioinformatics Conference - Workshops},
volume = {0},
year = {2005},
isbn = {0-7695-2442-7},
pages = {19-22},
doi = {http://doi.ieeecomputersociety.org/10.1109/CSBW.2005.6},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - 2005 IEEE Computational Systems Bioinformatics Conference - Workshops
TI - A Diffusion Model to Estimate the Inter-arrival Time of Charged Molecules in Stochastic Event based Modeling of Complex Biological Networks
SN - 0-7695-2442-7
SP19
EP22
A1 - Preetam Ghosh,
A1 - Samik Ghosh,
A1 - Kalyan Basu,
A1 - Sajal Das,
PY - 2005
KW - null
VL - 0
JA - 2005 IEEE Computational Systems Bioinformatics Conference - Workshops
ER -
 
Preetam Ghosh, The University of Texas at Arlington
Samik Ghosh, The University of Texas at Arlington
Kalyan Basu, The University of Texas at Arlington
Sajal Das, The University of Texas at Arlington

With biological experiments generating lots of empirical data, the challenge is to develop a modeling paradigm that integrates structural, molecular and genetic data for a quantitative understanding of physiology and behavior of biological processes at multiple scales - starting from cell, to tissues and finally to the whole organism. The complexity of the problem motivates the use of computer or "in silico" stochastic event based modeling approach. We focus on the signal transduction cascade triggered by extra-cellular Mg2+ concentration in the two component PhoPQ regulatory system of Salmonella Enterica serovar Thphimurium, and present the mathematical formulation for the estimation of statistical parameters of inter-arrival time of molecules/ ions to a cell receptor as external signal.

Citation:
Preetam Ghosh, Samik Ghosh, Kalyan Basu, Sajal Das, "A Diffusion Model to Estimate the Inter-arrival Time of Charged Molecules in Stochastic Event based Modeling of Complex Biological Networks," csbw, pp.19-22, 2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05), 2005
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