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Related Concept Videos

Proteomics01:33

Proteomics

A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term proteomics...

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Updated: Jun 7, 2026

A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes
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A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes

Published on: May 22, 2018

Protegen: a web-based protective antigen database and analysis system.

Brian Yang1, Samantha Sayers, Zuoshuang Xiang

  • 1Unit for Laboratory Animal Medicine, University of Michigan Medical School, Center for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA.

Nucleic Acids Research
|October 21, 2010
PubMed
Summary
This summary is machine-generated.

Protegen is a new database for protective antigens, crucial for vaccine development and disease diagnosis. It centralizes curated data and offers analysis tools for researchers studying host immunity.

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Area of Science:

  • Immunology
  • Bioinformatics
  • Vaccinology

Background:

  • Protective antigens are key targets for acquired immunity, essential for vaccine development, disease diagnosis, and understanding host immune responses.
  • Current research lacks a centralized resource for comprehensive protective antigen data and analysis.

Purpose of the Study:

  • To develop Protegen, a web-based database and analysis system for protective antigens.
  • To curate and store information on protective antigens, including experimental evidence and bioinformatics data.
  • To provide tools for searching, analyzing, and exchanging protective antigen data.

Main Methods:

  • Curating basic antigen information and experimental evidence from peer-reviewed literature.
  • Automatically extracting detailed gene/protein data from existing databases using custom scripts.
  • Employing bioinformatics tools to compute antigen features like molecular weight, pI, and subcellular localization.
  • Developing a user-friendly web interface for querying and visualizing data, including a BLAST search functionality.

Main Results:

  • Protegen currently contains 590 protective antigens against over 100 infectious and non-infectious diseases.
  • The database integrates curated information with automatically extracted gene/protein data.
  • A functional web interface with search and BLAST capabilities is available.
  • Data is stored using the Vaccine Ontology (VO) in OWL format and exportable to FASTA and Excel.

Conclusions:

  • Protegen serves as a valuable, centralized resource for protective antigen research.
  • The database facilitates vaccine development, disease diagnostics, and fundamental immunology studies.
  • Protegen's integrated data and analysis tools enhance the study of host immunity.