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Machine learning: A useful tool in the development of next generation antibody therapeutics

Drug Discovery World

Modern experimental procedures, such as immunisation, B-cell screening, and synthetic library generation, have been pivotal in developing approximately 80 FDA-approved antibody therapeutics. Existing antibody discovery methods have mostly failed for certain target groups, such as G protein-coupled receptors (GPCRs) and ion channels.