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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
Summary
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).