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High-resolution mass spectrometry for human exposomics: Expanding chemical space coverage
In the modern “omics” era, measurement of the human exposome is a critical missing link
between genetic drivers and disease outcomes. High-resolution mass spectrometry …
between genetic drivers and disease outcomes. High-resolution mass spectrometry …
Good practices and recommendations for using and benchmarking computational metabolomics metabolite annotation tools
NF de Jonge, K Mildau, D Meijer, JJR Louwen… - Metabolomics, 2022 - Springer
Background Untargeted metabolomics approaches based on mass spectrometry obtain
comprehensive profiles of complex biological samples. However, on average only 10% of …
comprehensive profiles of complex biological samples. However, on average only 10% of …
Deep learning-assisted spectrum–structure correlation: state-of-the-art and perspectives
Spectrum–structure correlation is playing an increasingly crucial role in spectral analysis
and has undergone significant development in recent decades. With the advancement of …
and has undergone significant development in recent decades. With the advancement of …
[HTML][HTML] Machine learning applications in precision medicine: overcoming challenges and unlocking potential
Precision medicine, utilizing genomic and phenotypic data, aims to tailor treatments for
individual patients. However, successful implementation into clinical practice is challenging …
individual patients. However, successful implementation into clinical practice is challenging …
IDSL_MINT: a deep learning framework to predict molecular fingerprints from mass spectra
The majority of tandem mass spectrometry (MS/MS) spectra in untargeted metabolomics and
exposomics studies lack any annotation. Our deep learning framework, Integrated Data …
exposomics studies lack any annotation. Our deep learning framework, Integrated Data …
Evolutionary metabolomics of specialized metabolism diversification in the genus Nicotiana highlights N-acylnornicotine innovations
Specialized metabolite (SM) diversification is a core process to plants' adaptation to diverse
ecological niches. Here, we implemented a computational mass spectrometry–based …
ecological niches. Here, we implemented a computational mass spectrometry–based …
Metabolome-guided genome mining of RiPP natural products
Ribosomally synthesized and post-translationally modified peptides (RiPPs) are a
chemically diverse class of metabolites. Many RiPPs show potent biological activities that …
chemically diverse class of metabolites. Many RiPPs show potent biological activities that …
[PDF][PDF] Illuminating the oral microbiome and its host interactions: recent advancements in omics and bioinformatics technologies in the context of oral microbiome …
JL Baker - FEMS Microbiology Reviews, 2023 - academic.oup.com
The oral microbiota has an enormous impact on human health, with oral dysbiosis now
linked to many oral and systemic diseases. Recent advancements in sequencing, mass …
linked to many oral and systemic diseases. Recent advancements in sequencing, mass …
MAW: the reproducible M etabolome A nnotation W orkflow for untargeted tandem mass spectrometry
Map** the chemical space of compounds to chemical structures remains a challenge in
metabolomics. Despite the advancements in untargeted liquid chromatography-mass …
metabolomics. Despite the advancements in untargeted liquid chromatography-mass …
Machine learning-assisted identification of environmental pollutants by liquid chromatography coupled with high-resolution mass spectrometry
Chemical exposure can be linked with various adverse effects, but the causal association is
still poorly understood. To meet the challenge, non-target screening (NTS) based on liquid …
still poorly understood. To meet the challenge, non-target screening (NTS) based on liquid …