Ontology highlight
ABSTRACT:
SUBMITTER: Cajka T
PROVIDER: S-EPMC10932214 | biostudies-literature | 2024 Mar
REPOSITORIES: biostudies-literature
Cajka Tomas T Hricko Jiri J Rakusanova Stanislava S Brejchova Kristyna K Novakova Michaela M Rudl Kulhava Lucie L Hola Veronika V Paucova Michaela M Fiehn Oliver O Kuda Ondrej O
International journal of molecular sciences 20240301 5
Liquid chromatography with mass spectrometry (LC-MS)-based metabolomics detects thousands of molecular features (retention time-<i>m</i>/<i>z</i> pairs) in biological samples per analysis, yet the metabolite annotation rate remains low, with 90% of signals classified as unknowns. To enhance the metabolite annotation rates, researchers employ tandem mass spectral libraries and challenging in silico fragmentation software. Hydrogen/deuterium exchange mass spectrometry (HDX-MS) may offer an additio ...[more]