Predicting Human Bioavailability of Subcutaneously Administered Monoclonal Antibodies Using Non-human Primate Linear Clearance and Antibody Isoelectric Point
Author:
Publisher
Springer Science and Business Media LLC
Subject
Pharmaceutical Science
Link
https://link.springer.com/content/pdf/10.1208/s12248-023-00818-1.pdf
Reference16 articles.
1. Collins DS, Sanchez-Felix M, Badkar AV, Mrsny R. Accelerating the development of novel technologies and tools for the subcutaneous delivery of biotherapeutics. J Control Release. 2020;321:475–82. https://doi.org/10.1016/j.jconrel.2020.02.036.
2. Bown HK, Bonn C, Yohe S, Yadav DB, Patapoff TW, Daugherty A, et al. In vitro model for predicting bioavailability of subcutaneously injected monoclonal antibodies. J Control Release. 2018;273:13–20. https://doi.org/10.1016/j.jconrel.2018.01.015.
3. Lou H, Hageman MJ. Machine learning attempts for predicting human subcutaneous bioavailability of monoclonal antibodies. Pharm Res. 2021;38(3):451–60. https://doi.org/10.1007/s11095-021-03022-y.
4. Haraya K, Tachibana T. Estimation of clearance and bioavailability of therapeutic monoclonal antibodies from only subcutaneous injection data in humans based on comprehensive analysis of clinical data. Clin Pharmacokinet. 2021;60(10):1325–34. https://doi.org/10.1007/s40262-021-01023-z.
5. Zou P. Predicting human bioavailability of subcutaneously administered fusion proteins and monoclonal antibodies using human intravenous clearance or antibody isoelectric point. AAPS J. 2023;25(3):31. https://doi.org/10.1208/s12248-023-00798-2.
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