Predictive modeling of concentration-dependent viscosity behavior of monoclonal antibody solutions using artificial neural networks

Predictive modeling of concentration-dependent viscosity behavior of monoclonal antibody solutions using artificial neural networks

ABSTRACTSolutions of monoclonal antibodies (mAbs) can show increased viscosity at high concentration, which can be a disadvantage during protein purification, filling, and administration. The viscosity is determined by protein-protein-interactions, which are influenced by the antibody’s sequence as...

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Bibliographic Details
Main Authors: Jonathan Schmitt, Abbas Razvi, Christoph Grapentin
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:mAbs
Subjects:
Monoclonal antibody
high concentration
viscosity
artificial neural network
predictive modeling
Online Access:https://www.tandfonline.com/doi/10.1080/19420862.2023.2169440

Internet

https://www.tandfonline.com/doi/10.1080/19420862.2023.2169440

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