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Icon for model predictive control for improved product quality - a computer screen with a line graph and the cell culture icon with arrows going between them in a circular fashion

Model Predictive Control for Improved Product Quality in the Production of Viral Vectors

ABOUT

Viral vectors are considered the vehicle of choice in gene therapies and gene-modified cell therapies to deliver genetic material into a specific cell. However, viral vector production can represent up to 40% of the cost of goods for gene-modified cell therapies. Vector production processes can be inconsistent in how many virus capsids actually get filled with the target DNA material, rendering many of the viral capsids with no therapeutic value. Current production processes remove empty capsids from the viral harvest through additional purification steps, adding cost, time, and complexity, while reducing viral yields.

In collaboration with Artemis Biosystems, Sanofi, and Sartorius, we are using mechanistic modeling to improve vector production and purification processes. This project will result in improvements in viral vector product quality and reduced production costs which are needed to enable large-scale adoption of gene therapies.

FUNDING

  • Massachusetts Life Science Center 


RELATED LINKS

  • Massachusetts Life Science Center News

MIT INVESTIGATORS

Prof. Richard Braatz
(Chemical Engineering)

Prof. Scott Manalis
(Biological Engineering & Koch Institute for Integrative Cancer Research)

Prof. Anthony J. Sinskey
(Biology)

Dr. Stacy L. Springs
(Center for Biomedical Innovation)

PARTNERS

  • Artemis Biosystems 
  • Sanofi
  • Sartorius

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CBI improves global health through collaboration by bringing together the biomedical industry, government, and academia.

CBI draws on the expertise of the Massachusetts Institute of Technology’s Schools of Engineering and Science, the Sloan School of Management, and the Schwarzman College of Computing.

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