Interspecies data mining to predict novel ING-protein interactions in human
- Equal contributors
1 Department of Biochemistry & Molecular Biology, Faculty of Medicine, University of Calgary, Calgary, Alberta, Canada
2 Department of Oncology, Faculty of Medicine, University of Calgary, Calgary, Alberta, Canada
3 Department of Biochemistry, Faculty of Pharmacy, Cairo University, Cairo, Egypt
BMC Genomics 2008, 9:426 doi:10.1186/1471-2164-9-426Published: 18 September 2008
We confirm the validity of this screen and show that ING1 interacts specifically with three of the three proteins tested; p38MAPK, MEKK4 and RAD50. These novel ING-interacting proteins further link ING proteins to cell stress and DNA damage signaling, providing previously unknown upstream links to DNA damage response pathways in which ING1 participates. The bioinformatics approach we describe can be used to create an interaction prediction list for any human proteins with yeast homolog(s).
None of the validated interactions were predicted by the conventional protein-protein interaction tools we tested. Validation of our approach by traditional laboratory techniques shows that we can extract value from the voluminous weak interaction data already elucidated in yeast and fly databases. We therefore propose that the weak (low signal to noise ratio) data from large-scale interaction datasets are currently underutilized.