TY - JOUR
T1 - Modeling of gene regulatory processes by population-mediated signaling
T2 - New applications of population balances
AU - Shu, Che Chi
AU - Chatterjee, Anushree
AU - Hu, Wei Shou
AU - Ramkrishna, Doraiswami
N1 - Funding Information:
The work is supported by a grant from NIH ( GM081888 ) to WSH.
PY - 2012/3/5
Y1 - 2012/3/5
N2 - Population balance modeling is considered for cell populations in gene regulatory processes in which one or more intracellular variables undergo stochastic dynamics as determined by Ito stochastic differential equations. This paper addresses formulation and computational issues with sample applications to the spread of drug resistance among bacterial cells. It is shown that predictions from population balances can display qualitative differences from those made with single cell models which are usually encountered in the literature. Such differences are deemed to be important.
AB - Population balance modeling is considered for cell populations in gene regulatory processes in which one or more intracellular variables undergo stochastic dynamics as determined by Ito stochastic differential equations. This paper addresses formulation and computational issues with sample applications to the spread of drug resistance among bacterial cells. It is shown that predictions from population balances can display qualitative differences from those made with single cell models which are usually encountered in the literature. Such differences are deemed to be important.
KW - Biological and biomolecular engineering
KW - Drug resistance transfer
KW - Formulation
KW - Gene regulatory processes
KW - Mathematical modeling
KW - Population balance
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U2 - 10.1016/j.ces.2011.07.062
DO - 10.1016/j.ces.2011.07.062
M3 - Article
C2 - 22581980
AN - SCOPUS:84855450639
SN - 0009-2509
VL - 70
SP - 188
EP - 199
JO - Chemical Engineering Science
JF - Chemical Engineering Science
ER -