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Related Concept Videos

Protein Families02:47

Protein Families

Protein families are groups of homologous proteins; that is, they have similarities in amino acid sequences and three-dimensional structures. Protein families usually occur because of gene duplication, where an additional copy of a gene is inserted into the genome of an organism.   Mutations that change the amino acids but still allow the protein to be properly synthesized, will lead to new protein family members.   If these new proteins contain similar amino acids in key locations, protein...
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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.
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Updated: Jul 5, 2026

An Integrated Approach for Microprotein Identification and Sequence Analysis
09:37

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

Searching sequence databases over the internet: protein identification using MS-Fit.

C R Jiménez1, L Huang, Y Qiu

  • 1University of California San Francisco, San Francisco, California, USA.

Current Protocols in Protein Science
|April 23, 2008
PubMed
Summary
This summary is machine-generated.

Peptide mass mapping identifies proteins after gel electrophoresis. This technique uses enzymatic digestion and mass spectrometry, with the MS-Fit program comparing experimental to theoretical peptide masses for protein identification.

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Area of Science:

  • Proteomics
  • Biochemistry
  • Analytical Chemistry

Background:

  • Peptide mass fingerprinting is a common method for identifying proteins separated by gel electrophoresis.
  • The process involves enzymatic digestion of proteins into peptides, followed by mass spectrometry to measure peptide masses.

Purpose of the Study:

  • This unit describes the application of the MS-Fit search program.
  • The goal is to identify proteins by comparing experimental peptide masses to theoretical values.

Main Methods:

  • Proteins are digested in-gel using enzymes.
  • Mass spectrometry is used to measure the mass of the resulting peptides.
  • The MS-Fit program compares experimental mass data with theoretical peptide masses derived from protein databases.

Main Results:

  • The MS-Fit program facilitates the identification of proteins by matching experimental peptide mass data.
  • It allows for the determination of the closest protein match(es) within a database.

Conclusions:

  • Peptide fingerprint mass mapping, coupled with the MS-Fit program, provides an effective method for protein identification.
  • This approach is valuable for initial characterization of proteins following separation techniques like gel electrophoresis.