Mass spectrometry-based metabolomics in microbiome investigations

A Bauermeister, H Mannochio-Russo… - Nature Reviews …, 2022 - nature.com
Microbiotas are a malleable part of ecosystems, including the human ecosystem.
Microorganisms affect not only the chemistry of their specific niche, such as the human gut …

[HTML][HTML] Natural products in drug discovery: advances and opportunities

AG Atanasov, SB Zotchev, VM Dirsch… - Nature reviews Drug …, 2021 - nature.com
Natural products and their structural analogues have historically made a major contribution
to pharmacotherapy, especially for cancer and infectious diseases. Nevertheless, natural …

High-confidence structural annotation of metabolites absent from spectral libraries

MA Hoffmann, LF Nothias, M Ludwig… - Nature …, 2022 - nature.com
Untargeted metabolomics experiments rely on spectral libraries for structure annotation, but,
typically, only a small fraction of spectra can be matched. Previous in silico methods search …

Feature-based molecular networking in the GNPS analysis environment

LF Nothias, D Petras, R Schmid, K Dührkop, J Rainer… - Nature …, 2020 - nature.com
Molecular networking has become a key method to visualize and annotate the chemical
space in non-targeted mass spectrometry data. We present feature-based molecular …

Systematic classification of unknown metabolites using high-resolution fragmentation mass spectra

K Dührkop, LF Nothias, M Fleischauer, R Reher… - Nature …, 2021 - nature.com
Metabolomics using nontargeted tandem mass spectrometry can detect thousands of
molecules in a biological sample. However, structural molecule annotation is limited to …

Reproducible molecular networking of untargeted mass spectrometry data using GNPS

AT Aron, EC Gentry, KL McPhail, LF Nothias… - Nature protocols, 2020 - nature.com
Abstract Global Natural Product Social Molecular Networking (GNPS) is an interactive online
small molecule–focused tandem mass spectrometry (MS2) data curation and analysis …

Metabolite annotation from knowns to unknowns through knowledge-guided multi-layer metabolic networking

Z Zhou, M Luo, H Zhang, Y Yin, Y Cai, ZJ Zhu - Nature Communications, 2022 - nature.com
Liquid chromatography-mass spectrometry (LC-MS) based untargeted metabolomics allows
to measure both known and unknown metabolites in the metabolome. However, unknown …

MolNetEnhancer: enhanced molecular networks by integrating metabolome mining and annotation tools

M Ernst, KB Kang, AM Caraballo-Rodríguez… - Metabolites, 2019 - mdpi.com
Metabolomics has started to embrace computational approaches for chemical interpretation
of large data sets. Yet, metabolite annotation remains a key challenge. Recently, molecular …

[HTML][HTML] Human gut bacterial metabolism drives Th17 activation and colitis

M Alexander, QY Ang, RR Nayak, AE Bustion… - Cell host & …, 2022 - cell.com
Bacterial activation of T helper 17 (Th17) cells exacerbates mouse models of autoimmunity,
but how human-associated bacteria impact Th17-driven disease remains elusive. We show …

Advances in decomposing complex metabolite mixtures using substructure-and network-based computational metabolomics approaches

MA Beniddir, KB Kang, G Genta-Jouve, F Huber… - Natural product …, 2021 - pubs.rsc.org
Covering: up to the end of 2020 Recently introduced computational metabolome mining
tools have started to positively impact the chemical and biological interpretation of …