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Related Concept Videos

Tandem Mass Spectrometry01:21

Tandem Mass Spectrometry

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...
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...
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...
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This lesson details the instrumentation of a mass spectrometer—a physical instrument to perform mass spectrometry on analyte molecules and record the characteristic mass spectra. This is achieved via three chief functions:
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...
Mass Spectrometry: Complex Analysis01:21

Mass Spectrometry: Complex Analysis

Mass spectrometry is an important technique for the identification of pure compounds. However, it has some limitations for the analysis of complex mixtures, often due to excessive fragmentation making the spectrum too complicated to decipher. Mass spectrometry can be combined with suitable separation methods in sequence, forming hyphenated methods, which are useful in the analysis of complex mixtures.
GC–MS is a powerful hyphenated method commonly used in forensics and environmental...

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Using a Cyclic Ion Mobility Spectrometer for Tandem Ion Mobility Experiments
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Learning score function parameters for improved spectrum identification in tandem mass spectrometry experiments.

Marina Spivak1, Michael S Bereman, Michael J Maccoss

  • 1Department of Genome Sciences, University of Washington, Seattle, Washington, USA.

Journal of Proteome Research
|August 8, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces an improved feature set for ranking peptide-spectrum matches in mass spectrometry. This method enhances protein identification accuracy by 10-40% across various q-value thresholds.

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Area of Science:

  • Proteomics
  • Computational Biology
  • Mass Spectrometry Data Analysis

Background:

  • Protein identification from mass spectrometry data is complex, involving spectrum matching, ranking, and confidence estimation.
  • Existing algorithms often represent peptide-spectrum matches as feature vectors for ranking.
  • The SEQUEST XCorr score is a key metric in peptide-spectrum matching.

Purpose of the Study:

  • To develop a more flexible and effective feature set for ranking peptide-spectrum matches.
  • To improve the accuracy and efficiency of protein identification algorithms.
  • To enhance the target-decoy strategy for statistical confidence estimation.

Main Methods:

  • Proposed a novel feature set representation based on the parametrization of the SEQUEST XCorr score.
  • Applied this extended feature set to algorithms for ranking peptide-spectrum matches.
  • Evaluated the performance using the target-decoy strategy and compared it to a baseline feature set.

Main Results:

  • The extended feature set significantly improved the ranking of peptide-spectrum matches.
  • Achieved a 10-40% increase in distinct peptide identifications compared to baseline methods.
  • Demonstrated the method's effectiveness across a range of q-value thresholds.

Conclusions:

  • The proposed feature set offers a more effective approach to ranking peptide-spectrum matches.
  • This method enhances protein identification in tandem mass spectrometry experiments.
  • The approach is adaptable to various database search outputs and similarity scores beyond XCorr.