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Showing 1–3 of 3 results
Advanced filters: Author: Matthew Greenig Clear advanced filters

  • Bayesian Flow Networks generate diverse, novel, and coherent protein sequences, surpassing prior unconditional generation methods. They also permit flexible conditional generation during inference, which is demonstrated on antibody inpainting tasks.

    • Timothy Atkinson
    • Thomas D. Barrett
    • Alexandre Laterre
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-14

  • Designing antibodies and assessing their biophysical properties for potential therapeutic development is challenging with current computational methods. Ramon et al. have developed a deep learning approach called AbNatiV, based on a vector-quantized variational encoder that accurately assesses the nativeness of antibodies and nanobodies, which are small single-domain antibodies that have recently attracted considerable interest.

    • Aubin Ramon
    • Montader Ali
    • Pietro Sormanni
    ResearchOpen Access
    Nature Machine Intelligence
    Volume: 6, P: 74-91