#AI drug discovery

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PapersBuildersSelected21:00
ImmuneAgent AI System Discovers Broadly Neutralizing Antibodies Across Virus Families

The wet-lab feedback loop is what separates this from prior sequence-based predictors: discovery rates are validated experimentally at a fixed cloning budget, not just benchmarked in silico. Immunology researchers and biotech teams working on antibody therapeutics can use the framework to target emerging pathogens without antigen-specific sorting. The 11% bnAb yield sets a concrete bar against existing cofolding models for anyone planning screening campaigns.

arXiv cs.AI@Hantao Lou et al. (24)Source
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