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The International Protein Index: an integrated database for proteomics experiments
Paul J Kersey1, Jorge Duarte, Allyson Williams
1EMBL Outstation, The European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK. pkersey@ebi.ac.uk
Proteomics
|June 29, 2004
Summary
The International Protein Index (IPI) integrates protein data from multiple sources, creating comprehensive proteome datasets for humans, mice, and rats. This resource addresses the challenge of fragmented protein information in separate databases.
Area of Science:
- Proteomics
- Bioinformatics
- Genomics
Background:
- Genome sequences of higher eukaryotes are largely determined, but their proteomes are not well-defined.
- Protein information is fragmented across various experimental and computational databases.
- No single resource provides complete coverage of known and predicted proteins.
Purpose of the Study:
- To address the issue of fragmented protein information.
- To create a comprehensive and nonredundant protein database.
- To provide complete proteome datasets for key eukaryotic species.
Main Methods:
- Development of the International Protein Index (IPI).
- Integration of data from Swiss-Prot, TrEMBL, Ensembl, and RefSeq databases.
- Creation of nonredundant datasets for human, mouse, and rat proteomes.
Main Results:
- Established the International Protein Index (IPI).
- Generated complete, nonredundant proteome datasets for human, mouse, and rat.
- Consolidated protein information from multiple major databases.
Conclusions:
- The International Protein Index (IPI) provides a unified resource for proteomic data.
- IPI enhances the accessibility and completeness of protein information.
- This integrated approach aids in understanding complex eukaryotic proteomes.