Prediction of antibody non-specificity using protein language models and biophysical parameters

The development of therapeutic antibodies requires optimizing target binding affinity and pharmacodynamics, while ensuring high developability potential, including minimizing non-specific binding. In this study, we address this problem by predicting antibody non-specificity by two complementary appr...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Laila I. Sakhnini, Ludovica Beltrame, Simone Fulle, Pietro Sormanni, Anette Henriksen, Nikolai Lorenzen, Michele Vendruscolo, Daniele Granata
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	Taylor & Francis Group 2026-12-01
Σειρά:	mAbs
Θέματα:	Therapeutic antibodies non-specificity protein-language models machine learning isoelectric point
Διαθέσιμο Online:	https://www.tandfonline.com/doi/10.1080/19420862.2026.2678000
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