DocumentCode
2519668
Title
Several Dynamic Models of Large-Scale Insect Cell Infection at Low Multiplicity of Infection
Author
Pan, Ruangang ; Deng, Lei ; Zou, Xiufen
Author_Institution
Coll. of Life Sci., Wuhan Univ., Wuhan, China
fYear
2009
fDate
11-13 June 2009
Firstpage
1
Lastpage
4
Abstract
Virus-like particles (VLPs), which produce from the baculovirus insect cell expression system, constitute potential vaccines for prevention of the epidemic diseases. The expression efficiency of the baculovirus insect cell system used for VLPs production is closely related with the dynamics of infection. In a large scale production process for VLPs with a low multiplicity of infection (MOI), how do we quantitatively determine the relation of the highest virus concentration and culture conditions? When is the optimal time of harvest (TOH)? To address these issues, several new mathematical models that describe the dynamic process of cell infection with baculovirus at low MOI have been developed and numerical results are given. The results indicate a quantitative relationship among the uninfected cells concentration, the infected cells concentration and virus concentration, and also show that the harvest time is dependent on the MOI and the attachment coefficient. These results provide useful instruction for the industrial scale production of VLPs vaccines.
Keywords
biotechnology; cellular biophysics; microorganisms; attachment coefficient; baculovirus; dynamic models; epidemic diseases; expression system; industrial scale production; large-scale insect cell infection; mathematical models; multiplicity of infection; time of harvest; vaccines; virus-like particles; Diseases; Educational institutions; Human immunodeficiency virus; Insects; Integral equations; Large-scale systems; Mathematical model; Production systems; Vaccines; Viruses (medical);
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-2901-1
Electronic_ISBN
978-1-4244-2902-8
Type
conf
DOI
10.1109/ICBBE.2009.5163380
Filename
5163380
Link To Document