A Structured Model for Interleukin-11 Production with Recombinant E.coli and Genetic Algorithm for Model Parameter Estimation

Shuiquan Tang, Tianjin University
Zisheng Zhang, University of Ottawa
Yiru Gan, University of Ottawa and Tianjin University

Abstract

Recombinant human interleukin-11(rhIL-11) is still the only therapy drug for thrombocytopenia. Although the biological properties and clinical behaviors of rhIL-11 have been studied extensively, bioprocess development work has rarely been reported. In this study, a three-compartment structured model was developed to simultaneously simulate batch cultivation of bacteria growth, substrate utilization and intracellular rhIL-11 production with recombinant E. coli. A genetic algorithm was formulated and successfully applied to the estimation of the model parameters, which simulated the experimental data obtained from flask cultivation experiments quite well. The results of this work indicate that combination of structured modeling and genetic algorithm could be a simple and effective way for simulating the fermentation of recombinant microorganisms with over-production of foreign proteins.

Recommended Citation

Tang, Shuiquan; Zhang, Zisheng; and Gan, Yiru (2006) "A Structured Model for Interleukin-11 Production with Recombinant E.coli and Genetic Algorithm for Model Parameter Estimation," International Journal of Chemical Reactor Engineering: Vol. 4: A6.
Available at: http://www.bepress.com/ijcre/vol4/A6

 
 
 
 

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