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Showing 1–6 of 6 results
Advanced filters: Author: Daniel Kottmann Clear advanced filters

  • Understanding disease mechanisms is crucial for drug discovery, necessitating the integration of diverse and multi-modal data. Here, the authors develop iPANDDA, a network-based computational pipeline that integrates multi-modal data to predict drug targets for SOX2-dependent lung squamous cell carcinoma, identifying and validating key targets like AKT and mTOR complexes.

    • Woochang Hwang
    • Daniel Kottmann
    • Namshik Han
    ResearchOpen Access
    Communications Chemistry
    Volume: 8, P: 1-14

  • The 2S–2P transitions in muonic helium-4 ions are measured using laser spectroscopy and used to obtain an α-particle charge-radius value five times more precise than that from electron scattering.

    • Julian J. Krauth
    • Karsten Schuhmann
    • Franz Kottmann
    ResearchOpen Access
    Nature
    Volume: 589, P: 527-531

  • Here, a technically challenging spectroscopic experiment is described: the measurement of the muonic Lamb shift. The results lead to a new determination of the charge radius of the proton. The new value is 5.0 standard deviations smaller than the previous world average, a large discrepancy that remains unexplained. Possible implications of the new finding are that the value of the Rydberg constant will need to be revised, or that the validity of quantum electrodynamics theory is called into question.

    • Randolf Pohl
    • Aldo Antognini
    • Franz Kottmann
    Research
    Nature
    Volume: 466, P: 213-216

  • A wide variety of enzymatic pathways that produce specialized metabolites in bacteria, fungi and plants are known to be encoded in biosynthetic gene clusters. Information about these clusters, pathways and metabolites is currently dispersed throughout the literature, making it difficult to exploit. To facilitate consistent and systematic deposition and retrieval of data on biosynthetic gene clusters, we propose the Minimum Information about a Biosynthetic Gene cluster (MIBiG) data standard.

    • Marnix H Medema
    • Renzo Kottmann
    • Frank Oliver Glöckner
    Comments & OpinionOpen Access
    Nature Chemical Biology
    Volume: 11, P: 625-631