Evidence map›Paper›PMID 40296170›Full record

ArticleJournal of cheminformatics2025

Translating community-wide spectral library into actionable chemical knowledge: a proof of concept with monoterpene indole alkaloids.

Sarah Szwarc, Adriano Rutz, Kyungha Lee, Yassine Mejri, Olivier Bonnet, Hazrina Hazni, Adrien Jagora, Rany B Mbeng Obame, Jin Kyoung Noh, Elvis Otogo N'Nang and 15 more

Abstract read
In one paragraph

Article in Journal of cheminformatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. The MassBank contributions of the mFam collaboration.Metabolomics : Official journal of the Metabolomic Society · 2026
    Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

25 authors.

Sarah Szwarc *Équipe, Chimie des Substances Naturelles, Université Paris-Saclay, CNRS, BioCIS, 17 avenue des Sciences, 91400, Orsay, France.
Adriano Rutz *Institute of Molecular Systems Biology, ETH Zürich, 8093, Zurich, Switzerland.
Kyungha LeeCollege of Pharmacy and Research Institute of Pharmaceutical Sciences, Sookmyung Women's University, Seoul, 04310, Republic of Korea.
Yassine MejriÉquipe, Chimie des Substances Naturelles, Université Paris-Saclay, CNRS, BioCIS, 17 avenue des Sciences, 91400, Orsay, France.
Olivier BonnetLaboratory of Pharmacognosy, Center of Interdisciplinary Research On Medicines (CIRM), University of Liège, Liège, Belgium.
Hazrina HazniDepartment of Chemistry, Faculty of Science, Universiti Malaya, 50603, Kuala Lumpur, Malaysia.
Adrien JagoraÉquipe, Chimie des Substances Naturelles, Université Paris-Saclay, CNRS, BioCIS, 17 avenue des Sciences, 91400, Orsay, France.
Rany B Mbeng ObameÉquipe, Chimie des Substances Naturelles, Université Paris-Saclay, CNRS, BioCIS, 17 avenue des Sciences, 91400, Orsay, France.
Jin Kyoung NohEl Batan, Instituto de BioEconomia, Quito, 170135, Ecuador.
Elvis Otogo N'NangDépartement Science Fondamentale, Service Chimie-Biochimie, Université Des Sciences de La Santé, Owendo, Gabon.
Stephenie C AlaribeDepartment of Pharmaceutical Chemistry, Faculty of Pharmacy, College of Medicine, University of Lagos, Idiaraba Campus, Surulere, Lagos, Nigeria.
Khalijah AwangDepartment of Chemistry, Faculty of Science, Universiti Malaya, 50603, Kuala Lumpur, Malaysia.
Guillaume BernadatÉquipe, Chimie des Substances Naturelles, Université Paris-Saclay, CNRS, BioCIS, 17 avenue des Sciences, 91400, Orsay, France.
Young Hae ChoiNatural Products Laboratory, Institute of Biology, Leiden University, Sylviusweg 72, 2333 BE, Leiden, the Netherlands.
Vincent CourdavaultEA2106 Biomolécules et Biotechnologies Végétales, Université de Tours, 31 Avenue Monge, 37200, Tours, France.
Michel FrederichLaboratory of Pharmacognosy, Center of Interdisciplinary Research On Medicines (CIRM), University of Liège, Liège, Belgium.
Thomas GaslondeUMR 8038 CiTCoM, Faculté de Santé, Université Paris Cité, CNRS, 75006, Paris, France.
Florian HuberCentre for Digitalisation and Digitality, Düsseldorf University of Applied Sciences, 40476, Düsseldorf, Germany.
Toh-Seok KamDepartment of Chemistry, Faculty of Science, Universiti Malaya, 50603, Kuala Lumpur, Malaysia.
Yun Yee LowDepartment of Chemistry, Faculty of Science, Universiti Malaya, 50603, Kuala Lumpur, Malaysia.
Erwan PouponÉquipe, Chimie des Substances Naturelles, Université Paris-Saclay, CNRS, BioCIS, 17 avenue des Sciences, 91400, Orsay, France.
Justin J J van der HooftBioinformatics Group, Wageningen University & Research, 6708 PB, Wageningen, the Netherlands.
Kyo Bin KangCollege of Pharmacy and Research Institute of Pharmaceutical Sciences, Sookmyung Women's University, Seoul, 04310, Republic of Korea.
Pierre Le PogamÉquipe, Chimie des Substances Naturelles, Université Paris-Saclay, CNRS, BioCIS, 17 avenue des Sciences, 91400, Orsay, France. pierre.le-pogam-alluard@universite-paris-saclay.fr.
Mehdi A BeniddirÉquipe, Chimie des Substances Naturelles, Université Paris-Saclay, CNRS, BioCIS, 17 avenue des Sciences, 91400, Orsay, France. mehdi.beniddir@universite-paris-saclay.fr.

Funding

Agence Nationale de la Recherche MIACYC-20-CE43-0010Campus France STARCentre National de la Recherche Scientifique MITIPRIME80Ministry of Higher Education, Malaysia FRGS/1/2020/SKK0/UM/01/5Ministry of Higher Education, Malaysia FRGS/1/2023/STG04/UM/02/13Ministry of Science and ICT, South Korea 2021K1A3A1A21038059
6 · The paper itself

Abstract

With over 3000 representatives, the monoterpene indole alkaloids (MIAs) class is among the most diverse families of plant natural products. The MS/MS spectral space exploration of these complex compounds using chemoinformatic and computational mass spectrometry tools offers a valuable opportunity to extract and share chemical insights from this emblematic family of natural products (NPs). In this work, we first present a substantially updated version of the MIADB, a database now containing 422 MS/MS spectra of MIAs that has been uploaded to the GNPS library versus 172 initial entries. We then introduce an innovative workflow that leverages hundreds of fragmentation spectra to support the FAIRification, extraction and dissemination of chemical knowledge. This workflow aims at the extraction of spectral patterns matching finely defined MIA skeletons. These extracted signatures can then be queried against complex biological extract datasets using MassQL. By applying this strategy to an LC-MS/MS dataset of 75 plant extracts, our results demonstrated the efficiency of this approach in identifying the diversity of MIA skeletons present in the analyzed samples. Additionally, our work enabled the digitization of structural data for diverse MIA skeletons by converting them into machine-readable formats and thereby enhancing their dissemination for the scientific community.Scientific contribution A comprehensive investigation of the monoterpene indole alkaloid chemical space, aiming to highlight skeleton-dependent fragmentation similarity trends and to generate valuable spectrometric signatures that could be used as queries.

Indexed as

Expert knowledgeMonoterpene indole alkaloidsMS/MSQueryScaffoldSimilarity

Identifiers

PMID40296170
PMCPMC12039057

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.