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Showing 1–8 of 8 results
Advanced filters: Author: Stacey R. Gerben Clear advanced filters

  • A method for de novo design of peptide macrocyles called RFpeptides has been developed. RFpeptides is an extension of RoseTTAFold2 and RFdiffusion and combines structure prediction and protein backbone generation for rapid and custom design of macrocyclic peptide binders.

    • Stephen A. Rettie
    • David Juergens
    • Gaurav Bhardwaj
    ResearchOpen Access
    Nature Chemical Biology
    Volume: 21, P: 1948-1956

  • Immune receptors regulate immune responses and are key cancer immunotherapy targets. Here, the authors designed helical concave scaffolds to bind convex sites in immune receptors, creating high-affinity protein binders for TGFβRII, CTLA-4, and PD-L1. Co-crystal structures confirmed their therapeutic potential.

    • Wei Yang
    • Derrick R. Hicks
    • David Baker
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-12

  • AfCycDesign: Cyclic offset to the relative positional encoding in AlphaFold2 enables accurate structure prediction, sequence redesign, and de novo hallucination of cyclic peptide monomers and binders.

    • Stephen A. Rettie
    • Katelyn V. Campbell
    • Gaurav Bhardwaj
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-15

  • Deep learning methods have been used to design proteins that can neutralize the effects of three-finger toxins found in snake venom, which could lead to the development of safer and more accessible antivenom treatments.

    • Susana Vázquez Torres
    • Melisa Benard Valle
    • David Baker
    ResearchOpen Access
    Nature
    Volume: 639, P: 225-231

  • Computationally designed genetically encoded proteins can be used to target surface proteins, thereby triggering endocytosis and subsequent intracellular degradation, activating signalling or increasing cellular uptake in specific tissues.

    • Buwei Huang
    • Mohamad Abedi
    • David Baker
    ResearchOpen Access
    Nature
    Volume: 638, P: 796-804