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Showing 1–6 of 6 results
Advanced filters: Author: Shina Caroline Lynn Kamerlin Clear advanced filters

  • A review of Arieh Warshel’s autobiography, where he describes his life from childhood to when he fascinates about understanding the catalytic power of enzymes.

    • Shina Caroline Lynn Kamerlin
    Books & Arts
    Nature Reviews Chemistry
    Volume: 6, P: 85

  • We present a computational approach to the design of high-efficiency enzymes with catalytic parameters comparable to natural enzymes, enabling programming of stable, high-efficiency, new-to-nature Kemp elimination enzymes through minimal experimental effort.

    • Dina Listov
    • Eva Vos
    • Sarel J. Fleishman
    ResearchOpen Access
    Nature
    Volume: 643, P: 1421-1427

  • Deep learning approaches have potential to substantially reduce the astronomical costs and long timescales involved in drug discovery. KarmaDock proposes a deep learning workflow for ligand docking that shows improved performance against both benchmark cases and in a real-world virtual screening experiment.

    • Shina Caroline Lynn Kamerlin
    News & Views
    Nature Computational Science
    Volume: 3, P: 739-740

  • Ancestral protein reconstruction followed by biochemical and structural analyses characterizes the evolutionary trajectory of methyl-parathion hydrolase from an ancestral dihydrocoumarin hydrolase through the accumulation of five key mutations.

    • Gloria Yang
    • Dave W Anderson
    • Nobuhiko Tokuriki
    Research
    Nature Chemical Biology
    Volume: 15, P: 1120-1128