Inventa : A computational tool to discover structural novelty in natural extracts libraries.

Autor:	Quiros-Guerrero LM; Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Geneva, Switzerland.; School of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland., Nothias LF; Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Geneva, Switzerland.; School of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland., Gaudry A; Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Geneva, Switzerland.; School of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland., Marcourt L; Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Geneva, Switzerland.; School of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland., Allard PM; Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Geneva, Switzerland.; School of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland.; Department of Biology, University of Fribourg, Fribourg, Switzerland., Rutz A; Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Geneva, Switzerland.; School of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland., David B; Green Mission Pierre Fabre, Institut de Recherche Pierre Fabre, Toulouse, France., Queiroz EF; Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Geneva, Switzerland.; School of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland., Wolfender JL; Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Geneva, Switzerland.; School of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland.
Jazyk:	angličtina
Zdroj:	Frontiers in molecular biosciences [Front Mol Biosci] 2022 Nov 11; Vol. 9, pp. 1028334. Date of Electronic Publication: 2022 Nov 11 (Print Publication: 2022).
DOI:	10.3389/fmolb.2022.1028334
Abstrakt:	Collections of natural extracts hold potential for the discovery of novel natural products with original modes of action. The prioritization of extracts from collections remains challenging due to the lack of a workflow that combines multiple-source information to facilitate the data interpretation. Results from different analytical techniques and literature reports need to be organized, processed, and interpreted to enable optimal decision-making for extracts prioritization. Here, we introduce Inventa , a computational tool that highlights the structural novelty potential within extracts, considering untargeted mass spectrometry data, spectral annotation, and literature reports. Based on this information, Inventa calculates multiple scores that inform their structural potential. Thus, Inventa has the potential to accelerate new natural products discovery. Inventa was applied to a set of plants from the Celastraceae family as a proof of concept. The Pristimera indica (Willd.) A.C.Sm roots extract was highlighted as a promising source of potentially novel compounds. Its phytochemical investigation resulted in the isolation and de novo characterization of thirteen new dihydro- β -agarofuran sesquiterpenes, five of them presenting a new 9-oxodihydro- β -agarofuran base scaffold. Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2022 Quiros-Guerrero, Nothias, Gaudry, Marcourt, Allard, Rutz, David, Queiroz and Wolfender.)
Databáze:	MEDLINE
Externí odkaz:	Zobrazit plný text záznamu