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Related Concept Videos

Peptide Identification Using Tandem Mass Spectrometry01:33

Peptide Identification Using Tandem Mass Spectrometry

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...
MALDI-TOF Mass Spectrometry01:19

MALDI-TOF Mass Spectrometry

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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Related Experiment Video

Updated: Jul 4, 2026

Low Molecular Weight Protein Enrichment on Mesoporous Silica Thin Films for Biomarker Discovery
13:00

Low Molecular Weight Protein Enrichment on Mesoporous Silica Thin Films for Biomarker Discovery

Published on: April 17, 2012

MassSorter: peptide mass fingerprinting data analysis.

Ingvar Eidhammer1, Harald Barsnes, Svein-Ole Mikalsen

  • 1Department of informatics, University of Bergen, Bergen, Norway.

Methods in Molecular Biology (Clifton, N.J.)
|July 2, 2008
PubMed
Summary
This summary is machine-generated.

MassSorter software analyzes peptide mass fingerprinting (PMF) data for proteins with known sequences. It identifies sequence coverage, modifications, and cleavages, aiding in accurate protein identification.

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Last Updated: Jul 4, 2026

Low Molecular Weight Protein Enrichment on Mesoporous Silica Thin Films for Biomarker Discovery
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Published on: April 17, 2012

Semi-Quantitative Analysis of Peptidoglycan by Liquid Chromatography Mass Spectrometry and Bioinformatics
09:09

Semi-Quantitative Analysis of Peptidoglycan by Liquid Chromatography Mass Spectrometry and Bioinformatics

Published on: October 13, 2020

Area of Science:

  • Proteomics
  • Bioinformatics
  • Computational Biology

Background:

  • Peptide mass fingerprinting (PMF) is crucial for protein identification.
  • Analyzing PMF data requires robust software for handling complex datasets.
  • Identifying posttranslational modifications and unexpected cleavages is challenging.

Purpose of the Study:

  • To introduce MassSorter, a novel software tool for PMF data analysis.
  • To enable simultaneous analysis of multiple experiments for comprehensive protein characterization.
  • To facilitate accurate identification of proteins, including modifications and cleavages.

Main Methods:

  • MassSorter compares experimental m/z values with in silico digestion data.
  • It accounts for various modifications and potential cleavages during analysis.
  • User-defined filters identify autolytic protease and contaminant peaks.

Main Results:

  • MassSorter systematically sorts, systematizes, and analyzes PMF data.
  • It provides detailed sequence coverage, modification, and cleavage information.
  • The software functions as a database for detected peptides, offering visualization tools.

Conclusions:

  • MassSorter enhances the accuracy and efficiency of protein identification from PMF data.
  • The tool supports the detection of sequence coverage, modifications, and cleavages.
  • MassSorter serves as a valuable resource for proteomics research.