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MPact: the MIPS protein interaction resource on yeast

Ulrich Güldener1, Martin Münsterkötter, Matthias Oesterheld

  • 1Institute for Bioinformatics, GSF National Research Center for Environment and Health, Ingolstädter Landstrasse 1, D-85764 Neuherberg, Germany. u.gueldener@gsf.de

Nucleic Acids Research
|December 31, 2005
PubMed

Insights

The Munich Information Center for Protein Sequences (MIPS) yeast protein-protein interaction (PPI) dataset offers a high-quality resource for analyzing yeast protein networks. This curated dataset enables comprehensive visualization and integration with other biological data types.

Area of Science:

  • Proteomics
  • Yeast Biology
  • Bioinformatics

Background:

  • The Munich Information Center for Protein Sequences (MIPS) yeast protein-protein interaction (PPI) dataset is recognized as a gold standard due to its quality and comprehensiveness.
  • Existing resources like MPact and the yeast protein localization catalog provide complementary information on protein proximity in yeast.

Purpose of the Study:

  • To present the MIPS yeast PPI dataset, a curated resource for analyzing protein interaction networks.
  • To facilitate the integration of manually annotated PPI data with high-throughput datasets and other biological information.

Main Methods:

  • Compilation of experimental evidence for PPIs from scientific literature by experts.
  • Integration of PPI data with other MIPS resources, such as the functional classification catalog and yeast protein localization catalog.
  • Development of a web-based tool for analysis and visualization of protein interaction networks.

Main Results:

  • The MIPS yeast PPI dataset contains over 4300 distinct PPIs connecting 1500 proteins.
  • Manual annotation and expert curation ensure high data quality and comprehensiveness.
  • The dataset supports interactive mapping with functional classification and pathway data, enabling extensive network complexity overviews.

Conclusions:

  • The MIPS yeast PPI dataset is a valuable resource for understanding yeast functional networks.
  • The integrated approach allows for a comprehensive analysis of protein interactions and their biological context.
  • A web-based tool facilitates easy access, analysis, and visualization of PPI data in standardized formats (PSI-MI).

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