Predicting Human Protein Interactions with ING Proteins
Author Information
Author(s): Gordon Paul MK, Soliman Mohamed A, Bose Pinaki, Trinh Quang, Sensen Christoph W, Riabowol Karl
Primary Institution: University of Calgary
Hypothesis
Can a cross-species bioinformatics approach identify novel human ING-interacting proteins more accurately than single-species methods?
Conclusion
The study confirms that ING1 interacts specifically with three proteins, linking ING proteins to DNA damage response pathways.
Supporting Evidence
- ING1 was confirmed to interact with p38MAPK, MEKK4, and RAD50.
- The interactions link ING proteins to cell stress and DNA damage signaling.
- None of the validated interactions were predicted by conventional tools.
Takeaway
The researchers found new partners for a protein involved in cancer by looking at data from different species, showing that these proteins work together in important ways.
Methodology
The study used a bioinformatics approach to analyze protein interactions across species, focusing on the ING family of proteins.
Potential Biases
The reliance on low-probability interactions may introduce false positives.
Limitations
The human interactome dataset is not as saturated as that of yeast, which may limit the predictions.
Statistical Information
P-Value
p<0.017
Statistical Significance
p<0.017
Digital Object Identifier (DOI)
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