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Related Concept Videos

Testing a Claim about Mean: Unknown Population SD01:21

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A complete procedure of testing a hypothesis about a population mean when the population standard deviation is unknown is explained here.
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Related Experiment Video

Updated: Feb 15, 2026

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METLIN: A Technology Platform for Identifying Knowns and Unknowns.

Carlos Guijas, J Rafael Montenegro-Burke, Xavier Domingo-Almenara

  • 1ISOtopic Solutions , Waehringerstrasse 38 , Vienna 1090 , Austria.

Analytical Chemistry
|January 31, 2018
PubMed
Summary

METLIN is a comprehensive chemical database and technology platform that identifies known and unknown molecules using mass spectrometry and fragment similarity searches. This advanced resource aids in characterizing novel metabolites and chemical entities.

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Area of Science:

  • Metabolomics
  • Chemical Biology
  • Bioinformatics

Background:

  • METLIN began as a metabolite characterization database and evolved into a versatile technology platform.
  • It now houses over 1 million molecules across diverse chemical classes.

Purpose of the Study:

  • To detail the expansion of METLIN into a comprehensive platform for identifying known and unknown metabolites and chemical entities.
  • To highlight the utility of its high-resolution tandem mass spectrometry (MS/MS) database and fragment similarity search capabilities.

Main Methods:

  • Utilized high-resolution tandem mass spectrometry (MS/MS) with reference standards and stable isotope analogues.
  • Implemented a fragment similarity search independent of precursor mass, relying on fragment ions.
  • Integrated in silico MS/MS data generated from trained algorithms.

Main Results:

  • Demonstrated the characterization of four previously unknown metabolites using MS/MS data and fragment similarity.
  • Showcased the combined power of similarity search and stable isotope data for metabolite identification.
  • Successfully generated in silico MS/MS data for enhanced identification capabilities.

Conclusions:

  • METLIN serves as a powerful, comprehensive resource for identifying both known and unknown molecules.
  • The platform's advanced features, including MS/MS data and in silico analysis, address significant challenges in chemical characterization.