
Mehdi Boroumand
Featured in:
biorxiv.org
Articles
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Feb 7, 2025 |
biorxiv.org | Mehdi Boroumand |Isabelle Sermadiras |Jenna Caldwell |Valentin G. Stanev
AbstractExperimental 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 structure-based machine learning techniques.
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