Journal
CHEMICAL ENGINEERING SCIENCE
Volume 70, Issue -, Pages 188-199Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ces.2011.07.062
Keywords
Biological and biomolecular engineering; Population balance; Formulation; Mathematical modeling; Gene regulatory processes; Drug resistance transfer
Categories
Funding
- NIGMS NIH HHS [R01 GM081388, R01 GM081388-04] Funding Source: Medline
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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. (C) 2011 Elsevier Ltd. All rights reserved.
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