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Phys.org — Biology · November 5, 2026 · On the brief until November 19, 2026

AlphaFold 3 predicts complex immune interactions using protein sequences alone

BiologyMedicineBiomedical Engineering
THE AI ANGLE
Predicting immune complex interactions from protein sequences

Researchers used AlphaFold 3 to predict whether T cell receptors recognize antigens based on genetic sequences alone. The model reconstructs the three-part immune complex and outperforms random guessing on uncharacterized pathogens like tuberculosis. This gives scientists a computational method to screen immune targets for vaccines and cancer therapies.

Summary written by AI Business Lens with an AI model from the article at phys.org. It is not the article, and the publisher has not reviewed it. For publishers.

THE TEACHING ANGLE
A general structural model can predict specialized immune recognition better than chance, though predicting binding affinities still requires secondary neural networks.

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