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Peptide Identification Using Tandem Mass Spectrometry

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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Related Experiment Video

Updated: Aug 14, 2025

Peptide-based Identification of Functional Motifs and their Binding Partners

Peptide-based Identification of Functional Motifs and their Binding Partners

Published on: June 30, 2013

Efficient Indexing of Peptides for Database Search Using Tide.

Frank Lawrence Nii Adoquaye Acquaye¹, Attila Kertesz-Farkas¹, William Stafford Noble^2,3

¹Department of Data Analysis and Artificial Intelligence and Laboratory on AI for Computational Biology, Faculty of Computer Science, HSE University, Moscow 109028, Russia.

Journal of Proteome Research

|January 12, 2023

Summary

This study presents an improved Tide search engine indexing method for protein mass spectrometry data analysis. The new method uses fewer resources and enables larger peptide databases, enhancing statistical power by optimizing digestion and post-translational modification parameters.

Keywords:

database search spectrum identification tandem mass spectrometry

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Last Updated: Aug 14, 2025

Peptide-based Identification of Functional Motifs and their Binding Partners

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Published on: June 30, 2013

The Application of Open Searching-based Approaches for the Identification of Acinetobacter baumannii O-linked Glycopeptides

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Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group

Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group

Published on: August 16, 2017

Area of Science:

Proteomics
Bioinformatics
Computational Biology

Background:

Protein tandem mass spectrometry data analysis requires searching spectra against protein databases.
Database searching involves digesting proteins into peptides based on user-defined rules.
Digestion parameters and post-translational modifications (PTMs) significantly influence search space and statistical power.

Purpose of the Study:

To describe an improved indexing implementation for the Tide search engine.
To reduce computational resource consumption (CPU and RAM) for peptide indexing.
To explore the impact of database size, digestion parameters, and PTMs on statistical power.

Main Methods:

Developed an enhanced indexing component for the Tide search engine.
Implemented resource optimizations, reducing CPU and RAM usage by approximately fourfold.
Enabled the generation of arbitrarily large peptide databases limited by disk space.

Main Results:

The improved Tide indexing component significantly reduces resource requirements.
Larger peptide databases can be generated efficiently, limited only by disk storage.
Explored the relationship between database size, digestion parameters, PTMs, and statistical power.

Conclusions:

The optimized Tide indexing method offers substantial resource savings.
Efficient generation of large peptide databases is achievable.
Findings provide guidance for selecting optimal digestion and PTM parameters to maximize statistical power in mass spectrometry data analysis.