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Showing 1–8 of 8 results
Advanced filters: Author: Daniel Bojar Clear advanced filters

  • GlyContact enables systematic analysis of glycan 3D structures, revealing how structural properties like flexibility and surface accessibility determine lectin binding and introducing AI models to predict structural features directly from sequences.

    • Luc Thomès
    • Roman Joeres
    • Daniel Bojar
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-16

  • Bennett et al. develop a statistical approach for analyzing comparative glycomics data that accounts for inherent data dependencies, yielding robust and sensitive results. This approach can identify how these molecules vary in health and disease.

    • Alexander R. Bennett
    • Jon Lundstrøm
    • Daniel Bojar
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-15

  • CandyCrunch is a deep learning-based tool for predicting glycan structures from tandem mass spectrometry data. The paper also introduces CandyCrumbs that automatically annotates fragment ions in higher-order tandem mass spectrometry spectra.

    • James Urban
    • Chunsheng Jin
    • Daniel Bojar
    ResearchOpen Access
    Nature Methods
    Volume: 21, P: 1206-1215

  • Exosomes function as intercellular information transmitters and are candidates for delivery of therapeutic agents. Here the authors present EXOtic, a synthetic biology device for in-situ production of designer exosomes and demonstrate in vivo application in models of Parkinson's disease.

    • Ryosuke Kojima
    • Daniel Bojar
    • Martin Fussenegger
    ResearchOpen Access
    Nature Communications
    Volume: 9, P: 1-10

  • Engineered erythropoietin receptor scaffolds equipped with extracellular sensor domains and modular intracellular domains that couple to endogenous signaling pathways enable modular reprogramming of designer membrane-bound receptors.

    • Leo Scheller
    • Tobias Strittmatter
    • Martin Fussenegger
    Research
    Nature Chemical Biology
    Volume: 14, P: 723-729

  • Control of transgene expression should ideally be easy and with minimal side effects. Here the authors present a synthetic biology-based approach in which the caffeine in coffee regulates a genetic circuit controlling glucagon-like peptide 1 expression in diabetic mice.

    • Daniel Bojar
    • Leo Scheller
    • Martin Fussenegger
    ResearchOpen Access
    Nature Communications
    Volume: 9, P: 1-10