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Automatised Pharmacophoric Deconvolution of Plant Extracts, application to Cinchona bark crude extract

Abstract

We present a development of the Plasmodesma dereplication method [Margueritte et al., Magn. Reson. Chem., 2018 56, 469]. This method is based on the automatic acquisition of a standard set of NMR experiments from a medium size set of samples differing by their bioactivity. From this raw data, an analysis pipeline is run and the data is analysed by leveraging machine learning approaches in order to extract the spectral fingerprints of the active compounds. The optimal conditions for the analysis are determined, and tested on two different system, a synthetic sample where a single active molecule is to be isolated and characterized, and a complex bioactive matrix with synergetic interactions between the components. The method allows the identification of the active compounds and performs a pharmacophoric deconvolution. The program is made available on internet, with an interactive visualisation of the statistical analysis, at https://plasmodesma.igbmc.science.

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Supplementary files

Publication details

The article was received on 17 Dec 2018, accepted on 24 Jan 2019 and first published on 25 Jan 2019


Article type: Paper
DOI: 10.1039/C8FD00242H
Citation: Faraday Discuss., 2019, Accepted Manuscript

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    Automatised Pharmacophoric Deconvolution of Plant Extracts, application to Cinchona bark crude extract

    L. Margueritte, L. Duciel, M. Bourjot, C. Vonthron-Sénécheau and M. Delsuc, Faraday Discuss., 2019, Accepted Manuscript , DOI: 10.1039/C8FD00242H

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