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Markus Weingarth

Researcher at Utrecht University

Publications -  66
Citations -  2026

Markus Weingarth is an academic researcher from Utrecht University. The author has contributed to research in topics: Solid-state nuclear magnetic resonance & KcsA potassium channel. The author has an hindex of 24, co-authored 58 publications receiving 1648 citations. Previous affiliations of Markus Weingarth include École Polytechnique Fédérale de Lausanne & University of Greifswald.

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Improved magnetization transfer in solid-state NMR with fast magic angle spinning

TL;DR: In this paper, a phase-alternated recoupling irradiation scheme (PARIS) was proposed to enhance the efficiency of magnetization transfer between different spins S such as chemically inequivalent carbon-13 nuclei.
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Structural characterization of 13C-enriched humins and alkali-treated 13C humins by 2D solid-state NMR

TL;DR: In this article, the preparation of 13C-enriched humins is reported, together with the reactive solubilization of these labeled humins and their characterization with complementary 1D and 2D solid-state NMR techniques.
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NMR-based structural biology enhanced by dynamic nuclear polarization at high magnetic field

TL;DR: High-field DNP offers atomic insight into the role of molecular plasticity during the course of biomolecular function in a complex cellular environment through exploitation of the paramagnetic relaxation properties of DNP polarizing agents as direct structural probes under magic angle spinning conditions.
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High-resolution NMR studies of antibiotics in cellular membranes

TL;DR: Solid-state NMR is used to monitor lipid II-binding antibiotics, such as nisin, directly in cell membranes and shows that the native antibiotic-binding mode strongly differs from previously published structures, and it is demonstrated that functional hotspots correspond to plastic drug domains that are critical for the cellular adaptability of nisin.
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Solid-state NMR-based approaches for supramolecular structure elucidation.

TL;DR: Methods for integrating ssNMR information with other experimental techniques or computational methods are summarized, and perspectives on how this overall information allows us to target increasingly large and intricate supramolecular structures of biomolecules are offered.