A detailed model and Monte Carlo simulation for predicting DIP genome length distribution in baculovirus infection of insect cells-Reference-Cited by-同舟云学术

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A detailed model and Monte Carlo simulation for predicting DIP genome length distribution in baculovirus infection of insect cells

Published:2020-10-07 Issue:1 Volume:118 Page:238-252
ISSN:0006-3592
Container-title:Biotechnology and Bioengineering
language:en
Short-container-title:Biotechnology and Bioengineering

Author:

Das Ashok¹^ORCID,Dutta Soumajit²,Sen Moumita³,Saxena Abha⁴^ORCID,Kumar Jitendra¹,Giri Lopamudra⁴^ORCID,Murhammer David W.⁵,Chakraborty Jayanta²^ORCID

Affiliation:

1. Department of Mathematics Indian Institute of Technology Kharagpur Kharagpur West Bengal India

2. Department of Chemical Engineering Indian Institute of Technology Kharagpur Kharagpur West Bengal India

3. Independent Researcher

4. Department of Chemical Engineering Indian Institute of Technology Hyderabad Hyderabad Telangana India

5. Department of Chemical and Biochemical Engineering The University of Iowa Iowa City California USA

Publisher

Wiley

Subject

Applied Microbiology and Biotechnology,Bioengineering,Biotechnology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/bit.27566

Reference32 articles.

1. Defective interfering particles: Effects in modulating virus growth and persistence;Bangham C. M.;Virology,1990

2. Recombination and Coronavirus Defective Interfering RNAs

3. Engineering of Submicron Particles

4. Selection function in breakage processes: PBM and Monte Carlo modeling

5. Defective Interfering Influenza Virus RNAs: Time To Reevaluate Their Clinical Potential as Broad-Spectrum Antivirals?

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