Jean‐Luc Wolfender

Human airway organoids as a high-throughput screening platform for antiviral natural products discovery

This study uses human airway organoids to screen 764 natural plant extracts for antiviral activity against RSV, identifying 45 active compounds with distinct mechanisms.

SAPID: a Strategy to Analyze Plant Extracts Taste In Depth. Application to the complex tasteof Swertia chirayita (Roxb.) H.Karst.

The paper develops an untargeted method to analyze plant extract taste and chemical composition, confirming bitterness in Swertia chirayita extract is due to iridoids and highlighting other compounds contributing to taste complexity.

plantMASST - Community-driven chemotaxonomic digitization of plants

The paper curates LC-MS/MS data from plant extracts to create a taxonomically focused database for exploring plant-derived molecules.

Inventa: a computational tool to discover chemical novelty in natural extracts libraries

Inventa identifies chemically novel natural products in plant extracts by integrating mass spectrometry data and literature reports, demonstrating its utility with a Celastraceae family example.

MEMO: Mass Spectrometry-based Sample Vectorization to Explore Chemodiverse Datasets

MEMO enables clustering of chemodiverse samples using LC-MS/MS profiles without feature alignment, achieving performance comparable to state-of-the-art methods faster.

The LOTUS Initiative for Open Natural Products Research: Knowledge Management through Wikidata

The paper introduces the LOTUS initiative, which curates and shares 750,000+ structure-organism pairs via Wikidata to improve data interoperability and knowledge management in natural products research.

From mass spectral features to molecules in molecular networks: a novel workflow for untargeted metabolomics.

The paper introduces MolNotator, a method that improves molecular networking in untargeted metabolomics by predicting neutral molecules from ion data, enhancing dereplication and network integration.

Taxonomically informed scoring enhances confidence in natural products annotation

The paper enhances metabolite annotation confidence by integrating taxonomic information into spectral matching scores, improving recall and precision of annotation tools.