Common Partners of Proteins

Reference: Samanta MP, Liang S. "Predicting protein functions from redundancies in large-scale protein interaction networks," Proc Natl Acad Sci USA. 2003 Oct 28;100(22):12579-83. Download.

In this work, we started with two-protein interaction data of yeast available from the DIP database and conducted an analysis based on the number of common partners every pair of proteins share. The interactions were ranked based on their probabilities of occurance in a random sample and then significant pairs were studied for interesting patterns. We predicted functions of many unannotated proteins based on such patterns. More details about the method and observations are provided in the publication here.

You can download the top 8000 pairs from our dataset from the table below: (or click here to get the data in plain text format)

1-250 251-500 501-750 751-1000
1001-1250 1251-1500 1501-1750 1751-2000
2001-2250 2251-2500 2501-2750 2751-3000
3001-3250 3251-3500 3501-3750 3751-4000
4001-4250 4251-4500 4501-4750 4751-5000
5001-5250 5251-5500 5501-5750 5751-6000
6001-6250 6251-6500 6501-6750 6751-7000
7001-7250 7251-7500 7501-7750 7751-8000

ADDITIONAL INFORMATION:

1)Here you can parse the functionally associated proteins into clusters. A sample output with full functional annotations is also provided as a Word file.

2)Ancient homologs in the top 8000 list.