Article in RSC advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing 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.
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
11 authors.
Arnaud GaudryInstitute of Pharmaceutical Sciences of Western Switzerland, University of Geneva 1211 Geneva 4 Switzerland arnaud.gaudry@unige.ch jean-luc.wolfender@unige.ch laurence.marcourt@unige.ch fluckiger.julien@gmail.com emerson.ferrerira@unige.ch.ORCID https://orcid.org/0000-0002-3648-7362
Laurence MarcourtInstitute of Pharmaceutical Sciences of Western Switzerland, University of Geneva 1211 Geneva 4 Switzerland arnaud.gaudry@unige.ch jean-luc.wolfender@unige.ch laurence.marcourt@unige.ch fluckiger.julien@gmail.com emerson.ferrerira@unige.ch.ORCID https://orcid.org/0000-0002-9614-1099
Marcel KaiserDepartment of Medical and Parasitology and Infection Biology, Swiss Tropical and Public Health Institute 4123 Allschwil Switzerland marcel.kaiser@swisstph.ch pascal.maeser@swisstph.ch.ORCID https://orcid.org/0000-0003-1785-7302
Julien FlückigerInstitute of Pharmaceutical Sciences of Western Switzerland, University of Geneva 1211 Geneva 4 Switzerland arnaud.gaudry@unige.ch jean-luc.wolfender@unige.ch laurence.marcourt@unige.ch fluckiger.julien@gmail.com emerson.ferrerira@unige.ch.
Bruno DavidGreen Mission Pierre Fabre, Institut de Recherche Pierre Fabre 3 Avenue Hubert Curien 31562 Toulouse France brunoxdavid@gmail.com antonio.grondin@pierre-fabre.com.ORCID https://orcid.org/0000-0002-6222-9228
Antonio GrondinGreen Mission Pierre Fabre, Institut de Recherche Pierre Fabre 3 Avenue Hubert Curien 31562 Toulouse France brunoxdavid@gmail.com antonio.grondin@pierre-fabre.com.ORCID https://orcid.org/0000-0002-2952-6271
Pascal MäserDepartment of Medical and Parasitology and Infection Biology, Swiss Tropical and Public Health Institute 4123 Allschwil Switzerland marcel.kaiser@swisstph.ch pascal.maeser@swisstph.ch.ORCID https://orcid.org/0000-0003-3122-1941
Emerson Ferreira QueirozInstitute of Pharmaceutical Sciences of Western Switzerland, University of Geneva 1211 Geneva 4 Switzerland arnaud.gaudry@unige.ch jean-luc.wolfender@unige.ch laurence.marcourt@unige.ch fluckiger.julien@gmail.com emerson.ferrerira@unige.ch.ORCID https://orcid.org/0000-0001-9567-1664
Pierre-Marie AllardInstitute of Pharmaceutical Sciences of Western Switzerland, University of Geneva 1211 Geneva 4 Switzerland arnaud.gaudry@unige.ch jean-luc.wolfender@unige.ch laurence.marcourt@unige.ch fluckiger.julien@gmail.com emerson.ferrerira@unige.ch.ORCID https://orcid.org/0000-0003-3389-2191
Jean-Luc WolfenderInstitute of Pharmaceutical Sciences of Western Switzerland, University of Geneva 1211 Geneva 4 Switzerland arnaud.gaudry@unige.ch jean-luc.wolfender@unige.ch laurence.marcourt@unige.ch fluckiger.julien@gmail.com emerson.ferrerira@unige.ch.ORCID https://orcid.org/0000-0002-0125-952X
Funding
No grant is acknowledged in the PubMed record.
6 · The paper itself
Abstract
Natural products (NP) have proven to be a rich source of potentially bioactive compounds, and metabolomics is the current method of choice for characterizing natural extracts. To integrate the vast amount of data and information produced by modern metabolomics workflows, we recently developed a sample-centric approach for the semantic enrichment and alignment of metabolomics datasets. The resulting Experimental Natural Products Knowledge Graph (ENPKG) is queryable and integrates both newly acquired digitalized experimental data and information, and previously reported knowledge. It allows the highlighting of putative bioactive compounds at the extract level by comparing, for example, the occurrence of compounds of a given chemical class with bioactivity results. Using this approach, we recently described potent anti-
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.
Efficient constitution of a library of rotenoid analogs active against · full record | OpenQuestion