Unknown

Dataset Information

0

Predicting 19 F?NMR Chemical Shifts: A Combined Computational and Experimental Study of a Trypanosomal Oxidoreductase-Inhibitor Complex.


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.

SUBMITTER: Dietschreit JCB 

PROVIDER: S-EPMC7496126 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature

altmetric image

Publications

Predicting <sup>19</sup> F NMR Chemical Shifts: A Combined Computational and Experimental Study of a Trypanosomal Oxidoreductase-Inhibitor Complex.

Dietschreit Johannes C B JCB   Wagner Annika A   Le T Anh TA   Klein Philipp P   Schindelin Hermann H   Opatz Till T   Engels Bernd B   Hellmich Ute A UA   Ochsenfeld Christian C  

Angewandte Chemie (International ed. in English) 20200525 31


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 st  ...[more]

Similar Datasets

| S-EPMC2726990 | biostudies-literature
| S-EPMC1887584 | biostudies-literature
| S-EPMC3324661 | biostudies-literature
| S-EPMC8372537 | biostudies-literature
| S-EPMC6193454 | biostudies-literature
| S-EPMC4295808 | biostudies-literature
| S-EPMC4027605 | biostudies-literature
| S-EPMC6631582 | biostudies-literature
| S-EPMC6025806 | biostudies-literature
| S-EPMC6933856 | biostudies-literature