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Author

Wei Wang

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Aug 2026

Whole-Virus Screening Coupled with Uncertainty-Aware Deep Learning Enables Discovery of Virus-Binding scFvs

Discovery of virus-binding ligands against emerging viral pathogens is of broad interest for diagnostics and therapeutic development. Here, we present an integrated framework that combines whole-virus screening using yeast surface display with uncertainty-aware deep learning and in silico directed evolution for the d...

Kai-Lin Feng, J. Parkinson, R. Hard et al. · 0 citations
Open access Jul 2026

Miniaturizing and modifying natural proteins with Raygun

Raygun is introduced, a generative artificial intelligence framework that enables miniaturization, modification and augmentation of proteins, using a probabilistic encoding of protein sequences constructed from language model embeddings, enabling the kind of coordinated, large-scale sequence modifications that characte...

Kapil Devkota, Daichi Shonai, Joey Mao et al. · 1 citation
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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