Predicting 19F NMR Chemical Shifts: A Combined Computational and Experimental Study of a Trypanosomal Oxidoreductase-Inhibitor Complex
- Publikationstyp:
- Zeitschriftenaufsatz
- Metadaten:
-
- Autoren
- Johannes CB Dietschreit
- Annika Wagner
- T Anh Le
- Philipp Klein
- Hermann Schindelin
- Till Opatz
- Bernd Engels
- Ute A Hellmich
- Christian Ochsenfeld
- Autoren-URL
- https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:000535042400001&DestLinkType=FullRecord&DestApp=WOS_CPL
- DOI
- 10.1002/anie.202000539
- eISSN
- 1521-3773
- Externe Identifier
- Clarivate Analytics Document Solution ID: NF1FD
- PubMed Identifier: 32239740
- ISSN
- 1433-7851
- Ausgabe der Veröffentlichung
- 31
- Zeitschrift
- ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
- Schlüsselwörter
- African sleeping sickness
- covalent inhibitors
- NMR spectroscopy
- quantum chemistry
- structural biology
- Paginierung
- 12669 - 12673
- Datum der Veröffentlichung
- 2020
- Status
- Published
- Titel
- Predicting <SUP>19</SUP>F NMR Chemical Shifts: A Combined Computational and Experimental Study of a Trypanosomal Oxidoreductase-Inhibitor Complex
- Sub types
- Article
- Ausgabe der Zeitschrift
- 59
Datenquelle: Web of Science (Lite)
- Andere Metadatenquellen:
-
- Abstract
- <jats:title>Abstract</jats:title><jats:p>The absence of fluorine from most biomolecules renders it an excellent probe for NMR spectroscopy to monitor inhibitor–protein interactions. However, predicting the binding mode of a fluorinated ligand from a chemical shift (or vice versa) has been challenging due to the high electron density of the fluorine atom. Nonetheless, reliable <jats:sup>19</jats:sup>F chemical‐shift predictions to deduce ligand‐binding modes hold great potential for in silico drug design. Herein, we present a systematic QM/MM study to predict the <jats:sup>19</jats:sup>F NMR chemical shifts of a covalently bound fluorinated inhibitor to the essential oxidoreductase tryparedoxin (Tpx) from African trypanosomes, the causative agent of African sleeping sickness. We include many protein–inhibitor conformations as well as monomeric and dimeric inhibitor–protein complexes, thus rendering it the largest computational study on chemical shifts of <jats:sup>19</jats:sup>F nuclei in a biological context to date. Our predicted shifts agree well with those obtained experimentally and pave the way for future work in this area.</jats:p>
- Autoren
- Johannes CB Dietschreit
- Annika Wagner
- T Anh Le
- Philipp Klein
- Hermann Schindelin
- Till Opatz
- Bernd Engels
- Ute A Hellmich
- Christian Ochsenfeld
- DOI
- 10.1002/anie.202000539
- eISSN
- 1521-3773
- ISSN
- 1433-7851
- Ausgabe der Veröffentlichung
- 31
- Zeitschrift
- Angewandte Chemie International Edition
- Sprache
- en
- Online publication date
- 2020
- Paginierung
- 12669 - 12673
- Datum der Veröffentlichung
- 2020
- Status
- Published
- Herausgeber
- Wiley
- Herausgeber URL
- http://dx.doi.org/10.1002/anie.202000539
- Datum der Datenerfassung
- 2023
- Titel
- Predicting <sup>19</sup>F NMR Chemical Shifts: A Combined Computational and Experimental Study of a Trypanosomal Oxidoreductase–Inhibitor Complex
- Ausgabe der Zeitschrift
- 59
Datenquelle: Crossref
- Abstract
- The absence of fluorine from most biomolecules renders it an excellent probe for NMR spectroscopy to monitor inhibitor-protein interactions. However, predicting the binding mode of a fluorinated ligand from a chemical shift (or vice versa) has been challenging due to the high electron density of the fluorine atom. Nonetheless, reliable <sup>19</sup> F chemical-shift predictions to deduce ligand-binding modes hold great potential for in silico drug design. Herein, we present a systematic QM/MM study to predict the <sup>19</sup> F NMR chemical shifts of a covalently bound fluorinated inhibitor to the essential oxidoreductase tryparedoxin (Tpx) from African trypanosomes, the causative agent of African sleeping sickness. We include many protein-inhibitor conformations as well as monomeric and dimeric inhibitor-protein complexes, thus rendering it the largest computational study on chemical shifts of <sup>19</sup> F nuclei in a biological context to date. Our predicted shifts agree well with those obtained experimentally and pave the way for future work in this area.
- Addresses
- Theoretical Chemistry, Department of Chemistry, University of Munich (LMU), Butenandtstr. 7, 81377, Munich, Germany.
- Autoren
- Johannes CB Dietschreit
- Annika Wagner
- T Anh Le
- Philipp Klein
- Hermann Schindelin
- Till Opatz
- Bernd Engels
- Ute A Hellmich
- Christian Ochsenfeld
- DOI
- 10.1002/anie.202000539
- eISSN
- 1521-3773
- Externe Identifier
- PubMed Identifier: 32239740
- PubMed Central ID: PMC7496126
- Funding acknowledgements
- Deutsche Forschungsgemeinschaft: SFB 1309 - 325871075
- Open access
- true
- ISSN
- 1433-7851
- Ausgabe der Veröffentlichung
- 31
- Zeitschrift
- Angewandte Chemie (International ed. in English)
- Schlüsselwörter
- Trypanosoma brucei brucei
- Fluorine
- Pyrimidinones
- Thiophenes
- Protozoan Proteins
- Enzyme Inhibitors
- Trypanocidal Agents
- Nuclear Magnetic Resonance, Biomolecular
- Protein Binding
- Mutation
- Thioredoxins
- Sprache
- eng
- Medium
- Print-Electronic
- Online publication date
- 2020
- Open access status
- Open Access
- Paginierung
- 12669 - 12673
- Datum der Veröffentlichung
- 2020
- Status
- Published
- Publisher licence
- CC BY-NC-ND
- Datum der Datenerfassung
- 2020
- Titel
- Predicting <sup>19</sup> F NMR Chemical Shifts: A Combined Computational and Experimental Study of a Trypanosomal Oxidoreductase-Inhibitor Complex.
- Sub types
- brief-report
- Research Support, Non-U.S. Gov't
- Journal Article
- Ausgabe der Zeitschrift
- 59
Files
https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/anie.202000539 https://europepmc.org/articles/PMC7496126?pdf=render
Datenquelle: Europe PubMed Central
- Abstract
- The absence of fluorine from most biomolecules renders it an excellent probe for NMR spectroscopy to monitor inhibitor-protein interactions. However, predicting the binding mode of a fluorinated ligand from a chemical shift (or vice versa) has been challenging due to the high electron density of the fluorine atom. Nonetheless, reliable 19 F chemical-shift predictions to deduce ligand-binding modes hold great potential for in silico drug design. Herein, we present a systematic QM/MM study to predict the 19 F NMR chemical shifts of a covalently bound fluorinated inhibitor to the essential oxidoreductase tryparedoxin (Tpx) from African trypanosomes, the causative agent of African sleeping sickness. We include many protein-inhibitor conformations as well as monomeric and dimeric inhibitor-protein complexes, thus rendering it the largest computational study on chemical shifts of 19 F nuclei in a biological context to date. Our predicted shifts agree well with those obtained experimentally and pave the way for future work in this area.
- Autoren
- Johannes CB Dietschreit
- Annika Wagner
- T Anh Le
- Philipp Klein
- Hermann Schindelin
- Till Opatz
- Bernd Engels
- Ute A Hellmich
- Christian Ochsenfeld
- Autoren-URL
- https://www.ncbi.nlm.nih.gov/pubmed/32239740
- DOI
- 10.1002/anie.202000539
- eISSN
- 1521-3773
- Externe Identifier
- PubMed Central ID: PMC7496126
- Ausgabe der Veröffentlichung
- 31
- Zeitschrift
- Angew Chem Int Ed Engl
- Schlüsselwörter
- African sleeping sickness
- NMR spectroscopy
- covalent inhibitors
- quantum chemistry
- structural biology
- Enzyme Inhibitors
- Fluorine
- Mutation
- Nuclear Magnetic Resonance, Biomolecular
- Protein Binding
- Protozoan Proteins
- Pyrimidinones
- Thiophenes
- Thioredoxins
- Trypanocidal Agents
- Trypanosoma brucei brucei
- Sprache
- eng
- Country
- Germany
- Paginierung
- 12669 - 12673
- Datum der Veröffentlichung
- 2020
- Status
- Published
- Datum, an dem der Datensatz öffentlich gemacht wurde
- 2021
- Titel
- Predicting 19 F NMR Chemical Shifts: A Combined Computational and Experimental Study of a Trypanosomal Oxidoreductase-Inhibitor Complex.
- Sub types
- Journal Article
- Research Support, Non-U.S. Gov't
- Ausgabe der Zeitschrift
- 59
Datenquelle: PubMed
- Beziehungen:
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