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PRODID:-//Metabolomics Society - ECPv6.16.3//NONSGML v1.0//EN
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METHOD:PUBLISH
X-WR-CALNAME:Metabolomics Society
X-ORIGINAL-URL:https://metabolomicssociety.org
X-WR-CALDESC:Events for Metabolomics Society
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BEGIN:VTIMEZONE
TZID:UTC
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TZOFFSETFROM:+0000
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DTSTART:20210101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20220329T000000
DTEND;TZID=UTC:20220329T235959
DTSTAMP:20260602T062552
CREATED:20231117T215900Z
LAST-MODIFIED:20231117T215900Z
UID:5867-1648512000-1648598399@metabolomicssociety.org
SUMMARY:EMN Live Webinar: Metabolic Reaction Network-based Metabolite Annotation for Untargeted Metabolomics: from Knowns to Unknowns
DESCRIPTION: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. \nRegister: https://attendee.gotowebinar.com/register/1747837981167991309
URL:https://metabolomicssociety.org/event/emn-live-webinar-metabolic-reaction-network-based-metabolite-annotation-for-untargeted-metabolomics-from-knowns-to-unknowns/
LOCATION:Webinar\, Webinar\, United States
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