Computer-aided Dereplication and Structure Elucidation of Natural Products at the University of Reims.
Ali BakiriBertrand PlainchontVicente de Paulo EmerencianoRomain ReynaudJane HubertJean-Hugues RenaultJean-Marc NuzillardPublished in: Molecular informatics (2017)
Natural product chemistry began in Reims, France, in a pharmacognosy research laboratory whose main emphasis was the isolation and identification of bioactive molecules, following the guidelines of chemotaxonomy. The structure elucidation of new compounds of steadily increasing complexity favored the emergence of methodological work in nuclear magnetic resonance. As a result, our group was the first to report the use of proton-detected heteronuclear chemical shift correlation spectra for the computer-assisted structure elucidation of small organic molecules driven by atom proximity relationships and without relying on databases. The early detection of known compounds appeared as a necessity in order to deal more efficiently with complex plant extracts. This goal was reached by an original combination of mixture fractionation by centrifugal partition chromatography, analysis by 13 C NMR, digital data reduction and alignment, hierarchical data clustering, and computer database search.
Keyphrases
- magnetic resonance
- big data
- electronic health record
- mass spectrometry
- single cell
- machine learning
- computed tomography
- emergency department
- high speed
- clinical practice
- rna seq
- tandem mass spectrometry
- contrast enhanced
- adverse drug
- high performance liquid chromatography
- bioinformatics analysis
- water soluble
- cell wall