Machine learning prediction of antibody aggregation and viscosity for high concentration formulation development of protein therapeutics

• Hauptverfasser: Pin-Kuang Lai (Verfasst von), Austin Gallegos (Verfasst von), Neil Mody (Verfasst von), Hasige A. Sathish (Verfasst von), Bernhardt L. Trout (Verfasst von)
• Format: Buch
• Veröffentlicht: Taylor & Francis Group, 2022-12-01T00:00:00Z.
• Schlagworte: article
• Online-Zugang: Connect to this object online.

Machine learning has been recently used to predict therapeutic antibody aggregation rates and viscosity at high concentrations (150 mg/ml). These works focused on commercially available antibodies, which may have been optimized for stability. In this study, we measured accelerated aggregation rates...