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Showing 1–8 of 8 results
Advanced filters: Author: Evans Brackenbrough Clear advanced filters

  • Researchers designed two-component proteins forming quasisymmetric cages via geometric frustration, enabling tunable virus-like assemblies for cargo delivery, cellular uptake and studying intracellular diffusion and protein localization.

    • Shunzhi Wang
    • Ying Xie
    • David Baker
    Research
    Nature
    P: 1-8

  • Computationally designing proteins with interfaces that bind small molecules has posed a long-standing challenge. Here, authors combine deep learning and physics-based approaches to design proteins that bind small molecules, and demonstrate their approach by designing a cortisol biosensor.

    • Gyu Rie Lee
    • Samuel J. Pellock
    • David Baker
    ResearchOpen Access
    Nature Communications
    Volume: 17, P: 1-12

  • A fresh approach to protein design that incorporates excited intermediate states enables precise control over the lifetime of protein interactions, with potential applications in cell-signalling modulation and in biosensors and synthetic circuits.

    • Adam J. Broerman
    • Christoph Pollmann
    • David Baker
    ResearchOpen Access
    Nature
    Volume: 647, P: 528-535

  • 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

  • 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