Probabilistic model of the human protein-protein interaction network

Daniel R Rhodes, Scott A Tomlins, Sooryanarayana Varambally, Vasudeva Mahavisno, Terrence Barrette, Shanker Kalyana-Sundaram, Debashis Ghosh, Akhilesh Pandey & Arul M Chinnaiyan

Supplementary Figure 1 (pdf 4330K)
Duplicate representation of Figure 4a, but including gene symbols on zoom.

Supplementary Figure 2 (pdf 950K)
Protein-protein interactions among proteins encoded by transcripts that are over-expressed in pancreatic cancer.

Supplementary Figure 3 (pdf 3045K)
Interactions among proteins encoded by transcripts that are overexpressed in multiple myeloma.

Supplementary Figure 4 (pdf 1350K)
Interactions among proteins encoded by transcripts that are overexpressed in clear cell renal cell carcinoma (RCC).

Supplementary Table 1 (pdf 15K)
Predicting human protein-protein interactions from model organism interactions.

Supplementary Table 2 (pdf 15K)
Predicting human protein-protein interactions from gene co-expression.

Supplementary Table 3 (pdf 15K)
Predicting human protein-protein interactions from gene co-expression.

Supplementary Table 4 (pdf 10K)
Predicting human protein-protein interactions from shared biological function as defined by Gene Ontology Biological Process annotations.

Supplementary Table 5 (pdf 10K)
Predicting human protein-protein interactions from domain pair enrichment as defined by Interpro protein domains and families and known interactions from the GSP.

Supplementary Table 6 (txt 60K)
Predicting human protein-protein interactions from both shared biological function and domain pair enrichment.

Supplementary Table 7 (pdf 455K)
Model performance and validation.

Supplementary Table 8 (pdf 290K)
Model performance and validation treating functional annotation and domain enrichment as conditionally independent.

Supplementary Table 9 (txt 1060K)
Primer sequences for cloning.

Supplementary Table 10 (pdf 350K)
Model performance and validation.

Supplementary Table 11 (pdf 215K)
Primer sequences for cloning.

Supplementary Methods (pdf 50K)

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