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...

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Bibliografski detalji

Glavni autori:	Laila I. Sakhnini, Ludovica Beltrame, Simone Fulle, Pietro Sormanni, Anette Henriksen, Nikolai Lorenzen, Michele Vendruscolo, Daniele Granata
Format:	Artigo
Jezik:	Inglês
Izdano:	Taylor & Francis Group 2026-12-01
Serija:	mAbs
Teme:	Therapeutic antibodies non-specificity protein-language models machine learning isoelectric point
Online pristup:	https://www.tandfonline.com/doi/10.1080/19420862.2026.2678000
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