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Showing 1–6 of 6 results
Advanced filters: Author: Kristen E. DeMeester Clear advanced filters

  • Activity-based protein profiling identifies covalent small molecules that potentiate the activity of the METTL5:TRMT112 complex through binding to a complexoform-restricted allosteric pocket absent in other TRMT112:methyltransferase complexes

    • F. Wieland Goetzke
    • Steffen M. Bernard
    • Benjamin F. Cravatt
    ResearchOpen Access
    Nature Chemical Biology
    P: 1-13

  • N-acetyl-muramic acid (NAM) is a core component of the bacterial peptidoglycan (PG) cell wall, and is recognised by the innate immune system. Here the authors engineer Gram-negative and Gram-positive bacteria to incorporate a modified NAM into the backbone of PG, which can be labelled with click chemistry for imaging and tracking.

    • Hai Liang
    • Kristen E. DeMeester
    • Catherine L. Grimes
    ResearchOpen Access
    Nature Communications
    Volume: 8, P: 1-11

  • The ligandability of the human proteome can be expanded using covalent chemistry. A multi-tiered chemical proteomic strategy now provides in-depth maps of tryptoline acrylamide–protein interactions in cancer cells. This platform afforded the discovery of stereoselective covalent ligands for hundreds of human proteins, including compounds that disrupt protein–protein interactions regulating the cell cycle.

    • Evert Njomen
    • Rachel E. Hayward
    • Benjamin F. Cravatt
    Research
    Nature Chemistry
    Volume: 16, P: 1592-1604

  • Determining which covalent binding events impact protein function is challenging. Now, a strategy has been reported that integrates base editing and chemical proteomics to infer the functionality of ligandable cysteines in cancer dependency proteins by quantifying the impact of their missense mutation on cancer cell proliferation.

    • Haoxin Li
    • Tiantai Ma
    • Benjamin F. Cravatt
    Research
    Nature Chemical Biology
    Volume: 19, P: 1320-1330

  • Felton et al. conduct a systematic review to determine the utility of islet autoantibodies as biomarkers of type 1 diabetes heterogeneity. They find that islet autoantibodies are most likely to be useful for patient stratification prior to clinical diagnosis.

    • Jamie L. Felton
    • Maria J. Redondo
    • Paul W. Franks
    ResearchOpen Access
    Communications Medicine
    Volume: 4, P: 1-18