Predicting Antibody Developability: Machine Learning Meets Therapeutic Antibodies
Antibody developability refers to an antibody’s suitability for clinical use, including properties such as solubility, stability, and aggregation. These traits are traditionally assessed through experimental screening, which is time-consuming and resource heavy. Machine learning offers a promising alternative for early prediction of developability, though many existing models are still in early st
