Immel, Stefan ; Köck, Matthias ; Reggelin, Michael (2022)
NMR-Based Configurational Assignments of Natural Products: Gibbs Sampling and Bayesian Inference Using Floating Chirality Distance Geometry Calculations.
In: Marine Drugs, 2022, 20 (1)
doi: 10.26083/tuprints-00020283
Article, Secondary publication, Publisher's Version
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Item Type: | Article |
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Type of entry: | Secondary publication |
Title: | NMR-Based Configurational Assignments of Natural Products: Gibbs Sampling and Bayesian Inference Using Floating Chirality Distance Geometry Calculations |
Language: | English |
Date: | 13 April 2022 |
Place of Publication: | Darmstadt |
Year of primary publication: | 2022 |
Publisher: | MDPI |
Journal or Publication Title: | Marine Drugs |
Volume of the journal: | 20 |
Issue Number: | 1 |
Collation: | 22 Seiten |
DOI: | 10.26083/tuprints-00020283 |
Corresponding Links: | |
Origin: | Secondary publication DeepGreen |
Abstract: | Floating chirality restrained distance geometry (fc-rDG) calculations are used to directly evolve structures from NMR data such as NOE-derived intramolecular distances or anisotropic residual dipolar couplings (RDCs). In contrast to evaluating pre-calculated structures against NMR restraints, multiple configurations (diastereomers) and conformations are generated automatically within the experimental limits. In this report, we show that the "unphysical" rDG pseudo energies defined from NMR violations bear statistical significance, which allows assigning probabilities to configurational assignments made that are fully compatible with the method of Bayesian inference. These "diastereomeric differentiabilities" then even become almost independent of the actual values of the force constants used to model the restraints originating from NOE or RDC data. |
Uncontrolled Keywords: | distance geometry calculations, configurational analysis, chirality, NMR spectroscopy, residual dipolar couplings, assignment probabilities, statistical error analysis |
Status: | Publisher's Version |
URN: | urn:nbn:de:tuda-tuprints-202834 |
Classification DDC: | 500 Science and mathematics > 540 Chemistry 500 Science and mathematics > 570 Life sciences, biology |
Divisions: | 07 Department of Chemistry > Clemens-Schöpf-Institut > Organ Chemistry |
Date Deposited: | 13 Apr 2022 11:29 |
Last Modified: | 14 Nov 2023 19:04 |
SWORD Depositor: | Deep Green |
URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/20283 |
PPN: | 500731373 |
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