IntNetDB: A Database for Protein-Protein Interactions
Author Information
Author(s): Xia Kai, Dong Dong, Han Jing-Dong
Primary Institution: Chinese Academy of Sciences
Hypothesis
Can we create a comprehensive and accurate protein-protein interaction (PPI) network database using a probabilistic model?
Conclusion
IntNetDB includes 180,010 predicted protein-protein interactions among 9,901 human proteins and represents a useful resource for the research community.
Supporting Evidence
- The database integrates 27 datasets to enhance the prediction of protein interactions.
- IntNetDB allows for easy visualization and analysis of protein interaction networks.
- The study increased prediction coverage by five-fold compared to previous analyses.
Takeaway
The study created a database that helps scientists find out how proteins interact with each other, making it easier to study biology.
Methodology
A probabilistic model was used to integrate 27 heterogeneous genomic, proteomic, and functional annotation datasets to predict PPI networks in humans.
Limitations
The accuracy of the predictions may vary due to the quality of the input datasets.
Digital Object Identifier (DOI)
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