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Bryan S. Briney

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Open access Jul 2026

A biologically informed antibody language model framework to simulate somatic hypermutation and guide native-like antibody design 2309391

This framework models SHM to generate native-like human antibodies, providing a biologically grounded tool for guiding design within the natural sequence space, and explicitly decouples targeting and substitution to enable faithful reproduction of both hotspot localization and amino acid substitution.

Karenna Ng, B. Némoz, Bryan S. Briney · 0 citations
Jul 2026

Evaluating AlphaFold 3 immune complex structure prediction and cryo-EM analysis of broadly neutralizing antibodies towards influenza hemagglutinin 2309571

Evaluated the accuracy of AlphaFold 3 (AF3) in predicting immune complexes of a known class of bnAbs towards a conserved epitope on influenza hemagglutinin (HA) and resolved atomistic details with high-resolution SPA cryo-EM that explain challenges with AF3 immune complex prediction.

Morgan Gee, Pragati Sharma, Alesandra J. Rodriguez et al. · 0 citations
Open access Aug 2026

A blinded, prospective benchmark of in silico antibody discovery anchored to experimental affinity and developability.

The AIntibody challenge shows that AI can optimize antibodies in defined, biologically grounded regimes, in addition to highlighting critical gaps including affinity prediction and library-inspired antibody design and cross-task generalization.

M. Erasmus, Daniel Bedinger, Elizabeth Hopkins et al. · 0 citations

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