Journal article
A detailed model and Monte Carlo simulation for predicting DIP genome length distribution in baculovirus infection of insect cells
Biotechnology and bioengineering, Vol.118(1), pp.238-252
01/2021
DOI: 10.1002/bit.27566
PMID: 32936454
Abstract
Baculoviruses have enormous potential for use as biopesticides to control insect pest populations without the adverse environmental effects posed by the widespread use of chemical pesticides. However, continuous baculovirus production is susceptible to DNA mutation and the subsequent production of defective interfering particles (DIPs). The amount of DIPs produced and their genome length distribution are of great interest not only for baculoviruses but for many other DNA and RNA viruses. In this study, we elucidate this aspect of virus replication using baculovirus as an example system and both experimental and modeling studies. The existing mathematical models for the virus replication process consider DIPs as a lumped quantity and do not consider the genome length distribution of the DIPs. In this study, a detailed population balance model for the cell‐virus culture is presented, which predicts the genome length distribution of the DIP population along with their relative proportion. The model is simulated using the kinetic Monte Carlo algorithm, and the results agree well with the experimental results. Using this model, a practical strategy to maintain the DIP fraction to near to its maximum and minimum limits has been demonstrated.
A detailed population balance model is developed to track different entities of a cell‐virus culture. The model is simulated using a kinetic Monte Carlo algorithm, which predicts the genome length distribution of the baculovirus DIP population for different passages.
Details
- Title: Subtitle
- A detailed model and Monte Carlo simulation for predicting DIP genome length distribution in baculovirus infection of insect cells
- Creators
- Ashok Das - Indian Institute of Technology KharagpurSoumajit Dutta - Indian Institute of Technology KharagpurMoumita Sen - Independent Researcher.Abha Saxena - Indian Institute of Technology HyderabadJitendra Kumar - Indian Institute of Technology KharagpurLopamudra Giri - Indian Institute of Technology HyderabadDavid W Murhammer - University of IowaJayanta Chakraborty - Indian Institute of Technology Kharagpur
- Resource Type
- Journal article
- Publication Details
- Biotechnology and bioengineering, Vol.118(1), pp.238-252
- DOI
- 10.1002/bit.27566
- PMID
- 32936454
- ISSN
- 0006-3592
- eISSN
- 1097-0290
- Number of pages
- 15
- Language
- English
- Date published
- 01/2021
- Academic Unit
- Chemical and Biochemical Engineering
- Record Identifier
- 9984197241102771
Metrics
21 Record Views