Researchers have developed ImmuneAgent, an AI system designed to discover broadly neutralizing antibodies (bnAbs) from human B cell repertoires. This system integrates multimodal reasoning with continual meta-learning and incorporates wet-lab feedback to address challenges like the rarity of bnAbs and the generalization across different viruses. In tests, ImmuneAgent achieved a significant antibody discovery rate and a notable bnAb yield, outperforming existing computational methods. The discovered antibodies demonstrated efficacy in protecting against influenza and identified key cellular and structural determinants of antibody activity, which generalized to new antigens like human metapneumovirus and human papillomavirus. AI
IMPACT Accelerates therapeutic antibody discovery against emerging viral threats by improving efficiency and generalization.
RANK_REASON The cluster contains a research paper detailing a new AI system for antibody discovery. [lever_c_demoted from research: ic=1 ai=1.0]
- CD27 molecule
- FCRL5
- human B cell repertoires
- human metapneumovirus
- Human Papillomavirus
- ImmuneAgent
- influenza
- MEDI8852
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