PROPERMAB: an integrative framework for in silico prediction of antibody developability using machine learning
Bian Li, Shukun Luo, Wenhua Wang, Jiahui Xu, Dingjiang Liu, Mohammed Shameem, John Mattila, Matthew C. Franklin, Peter G. Hawkins, Gurinder S. Atwal
PROPERMAB predicts antibody developability properties using machine learning, enabling early assessment of biophysical characteristics to accelerate drug development.
mAbs · Mar 5, 2025Peer-reviewedBioinformatics