The use of an artificial neural network to model the infection strategy for baculovirus production in suspended insect cell cultures

The use of an artificial neural network to model the infection strategy for baculovirus... Since the infection strategy in the baculovirus-insect cell system mostly affects production of the vector itself or the target product, and given that individual infection parameters interact with each other, the optimal combination must be established for each such specific system. In this work an artificial neural network was used to model infection strategy, including the cell concentration at infection, the multiplicity of infection, the medium recycle, and agitation intensity, and to evaluate the relative importance of each factor in the baculovirus production obtained. The results demonstrate that this model can be used to select an optimal infection strategy. For the baculovirus-insect cell system used in this study, this includes low multiplicity of infection and agitation intensity, along with high cell concentration at infection and medium recycle. Our model is superior to regression methods and predicts baculovirus production more precisely, thus meaning that it could be useful for the development of feasible processes, thereby improving process performance and economy. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Cytotechnology Springer Journals

The use of an artificial neural network to model the infection strategy for baculovirus production in suspended insect cell cultures

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Publisher
Springer Journals
Copyright
Copyright © 2017 by Springer Science+Business Media B.V.
Subject
Chemistry; Biotechnology; Biomedicine, general; Biochemistry, general
ISSN
0920-9069
eISSN
1573-0778
D.O.I.
10.1007/s10616-017-0128-x
Publisher site
See Article on Publisher Site

Abstract

Since the infection strategy in the baculovirus-insect cell system mostly affects production of the vector itself or the target product, and given that individual infection parameters interact with each other, the optimal combination must be established for each such specific system. In this work an artificial neural network was used to model infection strategy, including the cell concentration at infection, the multiplicity of infection, the medium recycle, and agitation intensity, and to evaluate the relative importance of each factor in the baculovirus production obtained. The results demonstrate that this model can be used to select an optimal infection strategy. For the baculovirus-insect cell system used in this study, this includes low multiplicity of infection and agitation intensity, along with high cell concentration at infection and medium recycle. Our model is superior to regression methods and predicts baculovirus production more precisely, thus meaning that it could be useful for the development of feasible processes, thereby improving process performance and economy.

Journal

CytotechnologySpringer Journals

Published: Aug 4, 2017

References

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