Software tools and approaches for compound identification of LC-MS/MS data in metabolomics

I Blaženović, T Kind, J Ji, O Fiehn - Metabolites, 2018 - mdpi.com
The annotation of small molecules remains a major challenge in untargeted mass
spectrometry-based metabolomics. We here critically discuss structured elucidation …

NORMAN guidance on suspect and non-target screening in environmental monitoring

J Hollender, EL Schymanski, L Ahrens… - Environmental Sciences …, 2023 - Springer
Increasing production and use of chemicals and awareness of their impact on ecosystems
and humans has led to large interest for broadening the knowledge on the chemical status …

The NORMAN Suspect List Exchange (NORMAN-SLE): facilitating European and worldwide collaboration on suspect screening in high resolution mass spectrometry

H Mohammed Taha, R Aalizadeh, N Alygizakis… - Environmental Sciences …, 2022 - Springer
Abstract Background The NORMAN Association (https://www. norman-network. com/)
initiated the NORMAN Suspect List Exchange (NORMAN-SLE; https://www. norman …

Spec2Vec: Improved mass spectral similarity scoring through learning of structural relationships

F Huber, L Ridder, S Verhoeven… - PLoS computational …, 2021 - journals.plos.org
Spectral similarity is used as a proxy for structural similarity in many tandem mass
spectrometry (MS/MS) based metabolomics analyses such as library matching and …

Accelerating metabolite identification in natural product research: toward an ideal combination of liquid chromatography–high-resolution tandem mass spectrometry …

JL Wolfender, JM Nuzillard, JJJ Van Der Hooft… - Analytical …, 2018 - ACS Publications
Natural product research aims to characterize specialized metabolites from various living
organisms and assess their biological properties from either a chemical ecology or drug …

MS2DeepScore: a novel deep learning similarity measure to compare tandem mass spectra

F Huber, S van der Burg, JJJ van der Hooft… - Journal of …, 2021 - Springer
Mass spectrometry data is one of the key sources of information in many workflows in
medicine and across the life sciences. Mass fragmentation spectra are generally considered …

Networks and graphs discovery in metabolomics data analysis and interpretation

A Amara, C Frainay, F Jourdan, T Naake… - Frontiers in Molecular …, 2022 - frontiersin.org
Both targeted and untargeted mass spectrometry-based metabolomics approaches are used
to understand the metabolic processes taking place in various organisms, from prokaryotes …

Improving target and suspect screening high-resolution mass spectrometry workflows in environmental analysis by ion mobility separation

A Celma, JV Sancho, EL Schymanski… - Environmental …, 2020 - ACS Publications
Currently, the most powerful approach to monitor organic micropollutants (OMPs) in
environmental samples is the combination of target, suspect, and nontarget screening …

Empowering large chemical knowledge bases for exposomics: PubChemLite meets MetFrag

EL Schymanski, T Kondić, S Neumann… - Journal of …, 2021 - Springer
Compound (or chemical) databases are an invaluable resource for many scientific
disciplines. Exposomics researchers need to find and identify relevant chemicals that cover …

[HTML][HTML] Suspect and non-target screening: the last frontier in environmental analysis

B González-Gaya, N Lopez-Herguedas, D Bilbao… - Analytical …, 2021 - pubs.rsc.org
Suspect and non-target screening (SNTS) techniques are arising as new analytical
strategies useful to disentangle the environmental occurrence of the thousands of …