Machine Learning Models of Antibody–Excipient Preferential Interactions for Use in Computational Formulation Design
Author:
Affiliation:
1. Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
2. Dosage Form Design and Development, AstraZeneca, Gaithersburg, Maryland 20878, United States
Funder
AstraZeneca
Publisher
American Chemical Society (ACS)
Subject
Drug Discovery,Pharmaceutical Science,Molecular Medicine
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.molpharmaceut.0c00629
Reference55 articles.
1. Protein–excipient interactions: Mechanisms and biophysical characterization applied to protein formulation development
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5. Concentration Dependent Viscosity of Monoclonal Antibody Solutions: Explaining Experimental Behavior in Terms of Molecular Properties
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