… To improve the efficiency of metabolite identification for a large number of metabolites, we
suggest a computational framework that can reduce the number of putative identifications and …

… and metabolite identification of therapeutic OGNs using LC–MS or LC–MS/MS have not … ,
current approaches and applications of LC–MS or LC–MS/MS for quantitative analysis of OGNs …

… For all these reasons, interpreting the data is typically the largest bottleneck in meta bo
lite identification. In this report, we present the choices and decisions involved in metabolite …

… and recent advances in using LC-MS for Met ID. We critically assess … LC and ion sources,
isotopic-pattern matching, hydrogen/deuterium-exchange MS, data dependent analyses, MS E …

… , metabolite identification is a major bottleneck in untargeted metabolomics. Although
community guidelines for metabolite identification were … The complexity of LC–MS data due to …

… greatly from the introduction of LC-MS, is metabolite identification. Both the … LC-MS for
metabolite identification will be presented here. For general reviews describing the use of LC-MS …

… metabolites, mass errors of less than 3 ppm were achieved. Using these approaches, several
metabolites were identified in … mass chromatogram for a number of metabolites of I−IV and …

… factors is that of chemically identifying metabolites from mass … and putative metabolite
identification of electrospray LC-MS-… to a reference file of metabolites. The software is independent …

… with predicted and observed MS/MS fragmentation patterns to identify metabolites.
PUTMEDID_LCMS is a workflow package for LC–MS metabolite identification developed by the …

… Only by elucidating unknown metabolites first is it possible to biologically interpret … of MS/MS
matching confidence. We present in silico fragmentation tools such as MS-FINDER, CFM-ID, …