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Related Concept Videos

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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Related Experiment Video

Updated: Mar 10, 2026

Identification of Antibacterial Immunity Proteins in Escherichia coli using MALDI-TOF-TOF-MS/MS and Top-Down Proteomic Analysis
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Top-down protein identification using isotopic envelope fingerprinting.

Kaijie Xiao1, Fan Yu1, Zhixin Tian1

  • 1School of Chemical Science and Engineering, Tongji University, Shanghai, China; Shanghai Key Laboratory of Chemical Assessment and Sustainability, Tongji University, Shanghai, China.

Journal of Proteomics
|December 20, 2016
PubMed
Summary
This summary is machine-generated.

The updated ProteinGoggle 2.0 enhances intact protein identification from mass spectrometry data. It now supports dynamic modifications, chemical labeling, and diverse dissociation methods for improved proteoform analysis.

Keywords:
Intact proteinIntact proteomeIsotopic envelope fingerprintingPost-translational modificationsProtein database searchProtein identificationProtein speciesProteoformTop-downUVPD

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Area of Science:

  • Proteomics
  • Bioinformatics
  • Computational Biology

Background:

  • Top-down proteomics aims to identify and characterize intact protein species (proteoforms).
  • Proteoform diversity arises from post-translational modifications, amino acid variations, and proteolysis.
  • Current database search and identification tools for top-down proteomics require further development.

Purpose of the Study:

  • To report the updated ProteinGoggle 2.0 search engine for intact protein database searching.
  • To introduce enhanced capabilities for handling complex proteoform data.
  • To benchmark the performance of ProteinGoggle 2.0 with new dissociation techniques.

Main Methods:

  • Isotopic envelope fingerprinting search algorithm and ProteinGoggle search engine.
  • ProteinGoggle 2.0 incorporates user-defined dynamic post-translational modifications and static chemical labeling.
  • The updated engine supports comprehensive dissociation methods (CID, HCD, ETD, UVPD) and ion series.
  • A novel Proteoform Score is introduced for each identified proteoform.

Main Results:

  • ProteinGoggle 2.0 demonstrates full-capacity for intact protein database search.
  • The algorithm efficiently resolves heavily overlapping and non-ideal isotopic envelope data.
  • Benchmarking with photon-based dissociation (UVPD) data of E. coli ribosomal proteins is reported.
  • The Proteoform Score aids in distinguishing and evaluating identified proteoforms.

Conclusions:

  • ProteinGoggle 2.0 represents a significant advancement in top-down proteomics data analysis.
  • The enhanced features improve the accuracy and efficiency of proteoform identification.
  • The tool is valuable for capturing the combinatorial information of proteoforms in high-throughput studies.