Open and reusable annotated mass spectrometry dataset of a chemodiverse collection of 1,600 plant extracts

Author:

Allard Pierre-Marie123ORCID,Gaudry Arnaud12ORCID,Quirós-Guerrero Luis-Manuel12ORCID,Rutz Adriano12ORCID,Dounoue-Kubo Miwa4ORCID,Walker Tom W N5ORCID,Defossez Emmanuel35ORCID,Long Christophe6ORCID,Grondin Antonio7ORCID,David Bruno7ORCID,Wolfender Jean-Luc12ORCID

Affiliation:

1. Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva , 1211 Geneva, Switzerland

2. School of Pharmaceutical Sciences, University of Geneva , 1211 Geneva, Switzerland

3. Department of Biology, University of Fribourg , 1700 Fribourg, Switzerland

4. Faculty of Pharmaceutical Sciences, Tokushima Bunri University , 770-8514 Tokushima , Japan

5. Institute of Biology, University of Neuchâtel , 2000 Neuchâtel, Switzerland

6. Direction Scientifique Naturactive, Pierre Fabre Medicament , 81100 Castres, France

7. Green Mission Pierre Fabre, Institut de Recherche Pierre Fabre , 31562 Toulouse, France

Abstract

Abstract As privileged structures, natural products often display potent biological activities. However, the discovery of novel bioactive scaffolds is often hampered by the chemical complexity of the biological matrices they are found in. Large natural extract collections are thus extremely valuable for their chemical novelty potential but also complicated to exploit in the frame of drug-discovery projects. In the end, it is the pure chemical substances that are desired for structural determination purposes and bioactivity evaluation. Researchers interested in the exploration of large and chemodiverse extract collections should thus establish strategies aiming to efficiently tackle such chemical complexity and access these structures. Establishing carefully crafted digital layers documenting the spectral and chemical complexity as well as bioactivity results of natural extracts collections can help prioritize time-consuming but mandatory isolation efforts. In this note, we report the results of our initial exploration of a collection of 1,600 plant extracts in the frame of a drug-discovery effort. After describing the taxonomic coverage of this collection, we present the results of its liquid chromatography high-resolution mass spectrometric profiling and the exploitation of these profiles using computational solutions. The resulting annotated mass spectral dataset and associated chemical and taxonomic metadata are made available to the community, and data reuse cases are proposed. We are currently continuing our exploration of this plant extract collection for drug-discovery purposes (notably looking for novel antitrypanosomatids, anti-infective and prometabolic compounds) and ecometabolomics insights. We believe that such a dataset can be exploited and reused by researchers interested in computational natural products exploration.

Funder

National Science Foundation

Publisher

Oxford University Press (OUP)

Subject

Computer Science Applications,Health Informatics

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