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.· Journal of the American Chem...· 0 citations
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.· Nature· 1 citation
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.· Nature Biotechnology· 0 citations
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