Antibody complementarity determining region design using high-capacity machine learning

Abstract excerpt

MOTIVATION: The precise targeting of antibodies and other protein therapeutics is required for their proper function and the elimination of deleterious off-target effects. Often the molecular structure of a therapeutic target is unknown and randomized methods are used to design antibodies without a model that relates antibody sequence to desired properties. RESULTS: Here, we present Ens-Grad, a machine learning...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Monoclonal and Polyclonal Antibodies Research
• Share to Protein purification and stability
• Share to vaccines and immunoinformatics approaches