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...

Volledige beschrijving

Bibliografische gegevens

Hoofdauteurs:	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
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	Taylor & Francis Group 2025-12-01
Reeks:	mAbs
Onderwerpen:	Antibody structure developability properties graph neural network protein language model size exclusion chromatography therapeutic antibodies
Online toegang:	https://www.tandfonline.com/doi/10.1080/19420862.2025.2562997
Tags:	Voeg label toe Geen labels, Wees de eerste die dit record labelt!