A machine learning strategy for the identification of key in silico descriptors and prediction models for IgG monoclonal antibody developability properties

• Main Authors: Andrew B. Waight (Author), David Prihoda (Author), Rojan Shrestha (Author), Kevin Metcalf (Author), Marc Bailly (Author), Marco Ancona (Author), Talal Widatalla (Author), Zachary Rollins (Author), Alan C Cheng (Author), Danny A. Bitton (Author), Laurence Fayadat-Dilman (Author)
• Format: Book
• Published: Taylor & Francis Group, 2023-12-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

ABSTRACTIdentification of favorable biophysical properties for protein therapeutics as part of developability assessment is a crucial part of the preclinical development process. Successful prediction of such properties and bioassay results from calculated in silico features has potential to reduce...