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Projekt Druckansicht

Network of German NMR centres (G-NMR)

Fachliche Zuordnung Biochemie
Analytische Chemie
Physikalische Chemie von Molekülen, Flüssigkeiten und Grenzflächen, Biophysikalische Chemie
Strukturbiologie
Förderung Förderung von 2012 bis 2019
Projektkennung Deutsche Forschungsgemeinschaft (DFG) - Projektnummer 214051023
 
Erstellungsjahr 2020

Zusammenfassung der Projektergebnisse

Within the first funding period (2012-2015), a network of German NMR centers has been established. The decentralized network contained more than 30 groups located in German universities and research institutes. Within this network, extensive improvements in research and research-related teaching could be achieved. Such improvements included monitoring of equipment performance and coordination in NMR and IT infrastructure. The network further provided a positive impulse for teaching initiatives at the level of bachelor education (now endorsed by the GDCh) and national workshops at the level of doctoral students. The decentralized format of the G-NMR network is ideal, since NMR as a cost-intensive and highly innovative technique is established in every university at high level in research, service measurements and teaching. Therefore, the involvement of more than 30 groups in the network makes a large impact on promoting NMR spectroscopy in Germany. In the second funding period, successful initiatives that were triggered during the first funding period have been consolidated and we have implemented approaches and structures to sustain this network. A main achievement is the continuation of the G-NMR School format for postgraduate NMR teaching. We have further shaped the NMR teaching curricula and developed tools to distribute newly developed methods to a broad user base. This includes new pulse sequences (e.g. to enable sparse sampling), new pulses (e.g. those developed under optimal control theory), sample preparation (in particular for solid-state application including DNP), but also improvements in facility management and benefit from interactions with industry partners.

Projektbezogene Publikationen (Auswahl)

  • (2020) Paramagnetic NMR in drug discovery. Journal of biomolecular NMR 74 (6-7) 287–309
    Softley, C. A., Bostock, M. J., Popowicz, G. M., & Sattler, M.
    (Siehe online unter https://doi.org/10.1007/s10858-020-00322-0)
  • Direct ¹³C-detected NMR experiments for mapping and characterization of hydrogen bonds in RNA. (2016) J Biomol NMR Mar;64(3):207-21
    Fürtig B, Schnieders R, Richter C, Zetzsche H, Keyhani S, Helmling C, Kovacs H, Schwalbe H
    (Siehe online unter https://doi.org/10.1007/s10858-016-0021-5)
  • (2017) J Biomol NMR. Sep;69(1):31-44
    Schnieders R, Richter C, Warhaut S, de Jesus V, Keyhani S, Duchardt-Ferner E, Keller H, Wöhnert J, Kuhn LT, Breeze AL, Bermel W, Schwalbe H, Fürtig B
    (Siehe online unter https://doi.org/10.1007/s10858-017-0132-7)
  • Novel 13C-detected NMR Experiments for the Precise Detection of RNA Structure. (2018) Angew Chem Int Ed Engl. Jul 1;58(27):9140-9144
    Schnieders R, Wolter AC, Richter C, Wöhnert J, Schwalbe H, Fürtig B
    (Siehe online unter https://doi.org/10.1002/anie.201904057)
  • Ultrashort Broadband Cooperative Pulses for Multidimensional Biomolecular NMR Experiments. (2018) Angew Chemie - Int Ed 57:14498–14502
    Asami S, Kallies W, Günther JC, Stavropoulou M, Glaser SJ, Sattler M
    (Siehe online unter https://doi.org/10.1002/anie.201800220)
  • Selective Inhibitors of FKBP51 Employ Conformational Selection of Dynamic Invisible States. (2019) Angew Chemie Int Ed 58:9429–9433
    Jagtap PKA, Asami S, Sippel C, Kaila VRI, Hausch F, Sattler M
    (Siehe online unter https://doi.org/10.1002/anie.201902994)
  • Introducing the CSP Analyzer: a Novel Machine Learning-based Application for Automated Analysis of two-dimensional NMR spectra in NMR Fragment-based Screening. (2020) Comput Struct Biotechnol J 18:603–611
    Fino R, Byrne R, Softley CA, Sattler M, Schneider G, Popowicz GM
    (Siehe online unter https://doi.org/10.1016/j.csbj.2020.02.015)
  • More than Proton Detection-New Avenues for NMR Spectroscopy of RNA (2020) Chemistry. Jan 2;26(1):102-113
    Schnieders R, Keyhani S, Schwalbe H, Fürtig B
    (Siehe online unter https://doi.org/10.1002/chem.201903355)
 
 

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