BiochemistryJournal of Computer-Aided Molecular DesignPeer-reviewed
Holistic in silico developability assessment of novel classes of small proteins using publicly available sequence-based predictors
Daniel A. M. Pais, Jan-Peter A. Mayer, Karin Felderer…·Hitto Kaufmann
This paper develops machine learning models to predict the developability of Anticalin proteins using sequence-based descriptors, achieving low prediction errors and validated through cross-validation.