Accelerating antibody development: sequence and structure-based models for predicting developability properties via size exclusion chromatography

Experimental screening for biopharmaceutical developability properties typically relies on resource-intensive, and time-consuming assays such as size exclusion chromatography (SEC). This study highlights the potential of in silico models to accelerate the screening process by exploring sequence and...

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Autors principals:	A N M Nafiz Abeer, Mehdi Boroumand, Isabelle Sermadiras, Jenna G. Caldwell, Valentin Stanev, Neil Mody, Gilad Kaplan, James Savery, Rebecca Croasdale-Wood, Maryam Pouryahya
Format:	Artigo
Idioma:	Inglês
Publicat:	Taylor & Francis Group 2025-12-01
Col·lecció:	mAbs
Matèries:	Antibody structure developability properties graph neural network protein language model size exclusion chromatography therapeutic antibodies
Accés en línia:	https://www.tandfonline.com/doi/10.1080/19420862.2025.2562997
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