Pierre‐Marie Allard

An Integrated Miniaturized Metabologenomics Workflow for High-Throughput Actinomycetes Prioritization

This study develops a miniaturized metabologenomics workflow for high-throughput actinomycetes screening, identifying seven isolates active against MRSA and Enterococcus faecium.

METRIN-KG: A knowledge graph integrating plant metabolites, traits, and biotic interactions

The paper introduces METRIN-KG, a knowledge graph integrating plant metabolites, traits, and biotic interactions to facilitate biodiversity data analysis.

Sanctioning of bacterial cheaters by the host plant in nitrogen-fixing symbiosis between Medicago truncatula and Sinorhizobium meliloti

The paper investigates how Medicago truncatula sanctions Sinorhizobium meliloti cheaters in nitrogen-fixing symbiosis by altering resource exchange and analyzing metabolic and proteomic changes in nodules.

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.

Feature-based Molecular Networking in the GNPS Analysis Environment

The paper introduces FBMN, a method for improving molecular networking by enhancing quantitative analysis and isomer distinction using feature detection and alignment tools in the GNPS platform.

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.