Machine learning driven acceleration of biopharmaceutical formulation development using Excipient Prediction Software (ExPreSo)

Formulation development of protein biopharmaceuticals has become increasingly challenging due to new modalities and higher target drug substance concentrations. The limited amount of drug substance available during development, coupled with extensive analytical requirements, restrict the number of e...

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Bibliographic Details

Published in:	Computational and Structural Biotechnology Journal
Main Authors:	Estefania Vidal-Henriquez, Thomas Holder, Nicholas Franciss Lee, Cornelius Pompe, Mark George Teese
Format:	Article
Language:	English
Published:	Elsevier 2025-01-01
Subjects:	Formulation development Machine learning Excipients Inactive ingredients Biopharmaceuticals Monoclonal antibodies
Online Access:	http://www.sciencedirect.com/science/article/pii/S2001037025004283