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Cell Culture Glycosylation Multi-scale Mechanistic Modeling (Phase 1)

Bioreactor Glycosylation Mechanistic modeling
Categories
Data
Project status
100% Completed

Industry Need

Laboratory experiments increase new product development cost.

Solution

Use Glycosylation modeling to reduce laboratory experimentation

Outputs/Deliverables

  • Modelling Software in Open-Source platform (done)
  • Model Use Training documentation (done)
  • Publication – Recurrent Neural Network-based Prediction of the Location of O-GlcNAcylation Sites in Mammalian Proteins (Seber, Braatz (MIT)) http://dx.doi.org/10.1101/2023.08.24.554563
  • Publication – Linear and Neural Network Models for Predicting N-glycosylation in Chinese Hamster Ovary Cells Based on B4GALT Levels (Seber, Braatz (MIT)) http://dx.doi.org/10.1101/2023.04.13.536762

Impacts

Reduce process development time and cost of Antibody products

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Project Lead

Massachusetts Institute of Technology

Massachusetts Institute of Technology

Participating Organizations

AstraZeneca

AstraZeneca

Boehringer Ingelheim

Boehringer Ingelheim

Bristol-Myers Squibb

Bristol-Myers Squibb

Cytiva

Cytiva

Federal Stakeholder:  National Institute of Standards and Technology

Federal Stakeholder: National Institute of Standards and Technology

Genentech

Genentech

Merck Sharp & Dohme LLC

Merck Sharp & Dohme LLC

MilliporeSigma/EMD Serono

MilliporeSigma/EMD Serono

NIIMBL

NIIMBL

Pfizer, Inc.

Pfizer, Inc.

Sanofi

Sanofi