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Updated: Jun 30, 2026

Identification of Protein Interaction Partners in Mammalian Cells Using SILAC-immunoprecipitation Quantitative Proteomics
Published on: July 6, 2014
iRefIndex: a consolidated protein interaction database with provenance
Sabry Razick1, George Magklaras, Ian M Donaldson
1The Biotechnology Centre of Oslo, University of Oslo, PO Box 1125 Blindern, 0317 Oslo, Norway. sabry.razick@biotek.uio.no
A new method generates unique keys for protein interactions and participants, consolidating redundant data across multiple databases. This approach enhances protein interaction data retrieval and quality assessment.
Area of Science:
- Bioinformatics
- Computational Biology
- Proteomics
Background:
- Protein interaction data is fragmented across numerous databases.
- A unified approach is needed to efficiently search and manage this data.
- Redundant interaction records require systematic grouping and method documentation.
Purpose of the Study:
- To develop a method for creating a unifying index of protein interaction data.
- To group redundant interaction records and document the methods used for grouping.
- To facilitate searching and retrieval of protein interaction information.
Main Methods:
- Generate unique keys for protein interaction records and participant proteins using primary sequences, taxonomy identifiers, and Secure Hash Algorithm (SHA).
- Map protein database references to current protein sequence records, generating a mapping score to assess reference quality.
- Define redundant groups based on identical keys derived from identical protein sequences and taxonomy identifiers.
Main Results:
- A novel key generation method for protein interactions and participants.
- Identical keys indicate redundant interaction records referring to the same protein sequences and taxonomy identifiers.
- The mapping process provides feedback on problematic database references, improving data quality.
Conclusions:
- The developed method was applied to multiple protein interaction databases (BIND, BioGrid, DIP, HPRD, IntAct, MINT, MPact, MPPI, OPHID).
- A comprehensive protein interaction reference index in PSI-MITAB 2.5 format is available online.
- The index can support alternative redundant groupings based on gene identifiers or sequence identity.
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