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Showing 1–8 of 8 results
Advanced filters: Author: Nikita Hanikel Clear advanced filters

  • A generative artificial intelligence-powered method enables de novo design of highly active enzymes based on information about the geometry of residues in the active site, without requiring protein backbone or sequence information.

    • Donghyo Kim
    • Seth M. Woodbury
    • David Baker
    ResearchOpen Access
    Nature
    Volume: 649, P: 246-253

  • Fine-tuning the RoseTTAFold structure prediction network on protein structure denoising tasks yields a generative model for protein design that achieves outstanding performance on a wide range of protein structure and function design challenges.

    • Joseph L. Watson
    • David Juergens
    • David Baker
    ResearchOpen Access
    Nature
    Volume: 620, P: 1089-1100

  • Techniques for structural characterization and quantification of DNA origami are still poorly developed, despite advances in other aspects of DNA nanotechnology. Here, the authors combine barcoding and next generation sequencing to simultaneously image and quantify self-assembled DNA nanostructures.

    • Cameron Myhrvold
    • Michael Baym
    • Peng Yin
    ResearchOpen Access
    Nature Communications
    Volume: 8, P: 1-9

  • The synthesis of interlocking molecular [n]catenanes of organic polyhedra (n = 2–3) and rings (n = 2–130) is established; however, the analogous chemistry of infinite 3D structures remains undeveloped. Now, reticular chemistry enables the synthesis of crystalline [∞]catenane covalent organic frameworks constructed from interlocking organic polyhedra.

    • Tianqiong Ma
    • Yi Zhou
    • Omar M. Yaghi
    Research
    Nature Synthesis
    Volume: 2, P: 286-295

  • The latest progress in the development of metal–organic frameworks and their integration in an apparatus for water harvesting are reviewed.

    • Nikita Hanikel
    • Mathieu S. Prévot
    • Omar M. Yaghi
    Reviews
    Nature Nanotechnology
    Volume: 15, P: 348-355