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Related Concept Videos

Tandem Mass Spectrometry01:21

Tandem Mass Spectrometry

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Tandem mass spectrometry is a technique that uses multiple mass analyzers in series to obtain a higher selectivity and reduce chemical noise during analyte detection. Instruments with multiple analyzers separated by an interaction cell enable secondary fragmentation and selected study of the fragment ions.Secondary fragmentations occur in the interaction cell and can be induced by various factors. Fragmentation induced by collision with inert gases, such as N2, Ar, He, etc., is called...
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Peptide Identification Using Tandem Mass Spectrometry01:33

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Tandem mass spectrometry, also known as MS/MS or MS2, is an analytical technique that employs two mass analyzers. Essentially it is a series of mass spectrometers that helps isolate a particular biomolecule and then helps study its chemical properties.
This technique helps gather information regarding the protein from which the peptide was obtained and to study the peptides’ amino acid sequence. Identifying peptides from a complex mixture is an important component of the growing field of...
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MALDI-TOF Mass Spectrometry

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Mass spectrometry is a powerful characterization technique that can identify and separate a wide variety of compounds ranging from chemical to biological entities, based on their mass-to-charge ratio (m/z). The instruments that allow this detection, known as mass spectrometers, have three components: an ion source, a mass analyzer, and a detector. These spectrometers differ based on the nature of their ion source and analyzers.Matrix-assisted laser desorption ionization (MALDI) is a commonly...
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Mass Spectrum: Interpretation01:24

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An unknown compound can be established by identifying the molecular ion peak in the mass spectrum. The molecular ion peak is often weak or absent due to the predominance of fragmentation in high-energy electron beams. In such cases, a soft-energy electron beam can be used to scan the spectrum to enhance the intensity of the molecular ion peak. Additionally, chemical ionization, field ionization, and desorption ionization spectra are used to obtain a relatively intense molecular ion peak.To...
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Mass Spectrometry: Overview01:19

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Mass spectrometry is an analytical technique used to determine the molecular mass and molecular formula of a compound. The basic principle of mass spectrometry is to generate ions from the analyte molecule and measure these ion abundances against their molecular mass. One common type of ionization, known as electron ionization or EI, bombards the analyte molecules in the gas phase with high-energy electron beams. The electron beams displace an electron from the molecule and leave behind a...
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Mass Spectrometry: Molecular Fragmentation Overview01:20

Mass Spectrometry: Molecular Fragmentation Overview

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The ionization of a molecule into a molecular ion inside the mass spectrometer causes instability in the molecule's structure due to the loss of an electron. This eventually leads to the fragmentation or breaking of some bonds in the molecule. The fragmentation occurs predominantly at specific bonds to yield relatively stable fragments.
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Searching molecular structure databases with tandem mass spectra using CSI:FingerID.

Kai Dührkop1, Huibin Shen2, Marvin Meusel1

  • 1Chair for Bioinformatics, Friedrich Schiller University, 07743 Jena, Germany;

Proceedings of the National Academy of Sciences of the United States of America
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Identifying unknown metabolites in biological samples is challenging. This study introduces a new computational method using fragmentation trees and machine learning to accurately search molecular databases, significantly improving metabolite identification.

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Area of Science:

  • Biochemistry and Molecular Biology
  • Computational Chemistry
  • Analytical Chemistry

Background:

  • Metabolites offer critical insights into cellular functions and states.
  • Untargeted metabolomics, often using tandem mass spectrometry (MS/MS), aims to identify numerous compounds in biological samples.
  • A significant limitation in metabolomics is the large number of unidentified metabolites.

Purpose of the Study:

  • To develop and validate a novel computational method for identifying unknown small molecules using tandem MS data.
  • To enhance the accuracy and efficiency of metabolite structure elucidation in complex biological samples.

Main Methods:

  • The proposed method constructs a fragmentation tree that best explains the observed tandem MS spectrum of an unknown molecule.
  • Machine learning is employed to predict a molecular structure fingerprint from the fragmentation tree.
  • This predicted fingerprint is then utilized to search large molecular structure databases like PubChem.

Main Results:

  • The fragmentation tree approach effectively models the fragmentation patterns of small molecules.
  • The machine learning-derived molecular fingerprint demonstrates high predictive accuracy for compound structures.
  • The method significantly outperforms existing computational approaches for metabolite identification.

Conclusions:

  • This novel computational strategy substantially improves the identification of unknown metabolites from tandem MS data.
  • The approach offers a powerful tool for advancing untargeted metabolomics research and drug discovery.