The metabolome refers to the complete collection of small molecules in living organisms, including endogenously known metabolites, and unknown metabolites from microbiota, plants, foods and xenobiotics. Large-scale metabolite annotation is a challenge in liquid chromatography-mass spectrometry (LC-MS)-based untargeted metabolomics. In this webinar, Prof. Zheng-Jiang Zhu and Dr. Zhiwei Zhou presented a metabolic reaction network (MRN)-based recursive algorithm (MetDNA) that expands metabolite annotations without the need for a comprehensive standard spectral library. Using different LC-MS platforms and biological samples, Prof. Zheng-Jiang Zhu and Dr. Zhiwei Zhou showcased the utility and versatility of MetDNA and demonstrated that about hundreds of endogenous metabolites can cumulatively be annotated from one experiment.

Register: https://attendee.gotowebinar.com/register/1747837981167991309