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

• Main Authors: Pin-Kuang Lai (Author), Austin Gallegos (Author), Neil Mody (Author), Hasige A. Sathish (Author), Bernhardt L. Trout (Author)
• Format: Book
• Published: Taylor & Francis Group, 2022-12-01T00:00:00Z.
• Subjects: article
• Online Access: 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...