Systemix Institute

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.

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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)

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.