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Mechanistic Modeling of Viral Particle Production
  • Christopher T. Canova,
  • Pavan K. Inguva,
  • Richard Braatz
Christopher T. Canova
Massachusetts Institute of Technology Department of Chemical Engineering

Corresponding Author:canova@mit.edu

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Pavan K. Inguva
Massachusetts Institute of Technology Department of Chemical Engineering
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Richard Braatz
Massachusetts Institute of Technology Department of Chemical Engineering
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Abstract

Viral systems such as wild-type viruses, viral vectors, and virus-like particles are essential components of modern biotechnology and medicine. Despite their importance, the commercial-scale production of viral systems remains highly inefficient for multiple reasons. Computational strategies are a promising avenue for improving process development, optimization, and control, but require a mathematical description of the system. This article reviews mechanistic modeling strategies for the production of viral particles, both at the cellular and bioreactor scales. In many cases, techniques and models from adjacent fields such as epidemiology and wild-type viral infection kinetics can be adapted to construct a suitable process model. These process models can then be employed for various purposes such as in-silico testing of novel process operating strategies and/or advanced process control.
16 Aug 2022Submitted to Biotechnology and Bioengineering
19 Sep 2022Submission Checks Completed
19 Sep 2022Assigned to Editor
19 Sep 2022Reviewer(s) Assigned
20 Oct 2022Review(s) Completed, Editorial Evaluation Pending
21 Oct 2022Editorial Decision: Revise Minor
30 Nov 20221st Revision Received
30 Nov 2022Submission Checks Completed
30 Nov 2022Assigned to Editor
30 Nov 2022Review(s) Completed, Editorial Evaluation Pending
30 Nov 2022Editorial Decision: Accept