iRefIndex: A Protein Interaction Database
Author Information
Author(s): Razick Sabry, Magklaras George, Donaldson Ian M
Primary Institution: The Biotechnology Centre of Oslo, University of Oslo
Hypothesis
We set out to create a unifying index that would facilitate searching for protein interaction data spread across multiple databases.
Conclusion
The resulting interaction reference index is provided in PSI-MITAB 2.5 format and may form the basis of alternative redundant groupings based on gene identifiers or near sequence identity groupings.
Supporting Evidence
- The index consolidates data from nine different protein interaction databases.
- 96% of all protein interactors were unambiguously assigned to redundant object groups.
- The method allows for the mapping of protein identifiers to redundant groups based solely on sequence.
Takeaway
This study created a big list that helps scientists find and group similar protein interactions from different databases.
Methodology
The study involved parsing interaction data from nine databases and mapping protein identifiers to redundant groups using SHA-1 based keys.
Limitations
The study did not assess the accuracy of source records and some identifiers may be ambiguous or retired.
Digital Object Identifier (DOI)
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