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tumor_virus_host — Tumour virus-human protein interactions (2012)

Description

A bipartite network of binary protein-protein interactions between proteins of DNA tumour viruses and human proteins, from Rozenblatt-Rosen et al. (2012), as distributed by the Center for Cancer Systems Biology (CCSB, Dana-Farber Cancer Institute). Open reading frames of viral proteins (from Epstein-Barr virus, adenovirus 5, polyomavirus SV40, and the human papillomaviruses HPV5, HPV6b, HPV8, HPV11, HPV16, HPV18 and HPV33) were screened by yeast two-hybrid (Y2H) assays against a library of human open reading frames (the human ORFeome). Nodes are viral and human proteins, and an undirected edge connects a viral protein to a human protein with which it interacts (454 interactions between 53 viral and 307 human proteins).

The network has the following properties:

  • is_viral: whether the node is a viral protein (otherwise it is a human protein).
  • name: the name of the viral protein, as virus and protein (e.g. "EBV-EBNA1", "HPV16-E6"), or the gene symbol of the human protein.
  • entrez_id: the Entrez Gene ID of the human protein (-1 for viral proteins).
Tags
Biological Protein interactions Unweighted Metadata
Citation
  • O. Rozenblatt-Rosen, R. C. Deo, M. Padi, G. Adelmant, M. A. Calderwood, T. Rolland, et al., "Interpreting cancer genomes using systematic host network perturbations by tumour virus proteins." Nature 487(7408), 491-495 (2012) 10.1038/nature11288 Sci-Hub
Upstream URL OK
https://web.archive.org/web/2017/http://interactome.dfci.harvard.edu/V_hostome/index.php?page=download
Networks
Tip: hover over a column header for a description.
Column legend
$\left<k\right>$
Mean degree
$\sigma_k$
Standard deviation of the degrees
$\lambda_h$
Largest eigenvalue of the Hashimoto (non-backtracking) matrix
$\tau$
Random walk mixing time
$r$
Degree assortativity
$c$
Global clustering coefficient
$\oslash$
(Pseudo-) diameter
$S$
Relative size of the largest component
NPs
Node properties
EPs
Edge properties
Name Nodes Edges $\left<k\right>$ $\sigma_k$ $\lambda_h$ $\tau$ $r$ $c$ $\oslash$ $S$ Kind Mode NPs EPs gt GraphML GML csv
tumor_virus_host 360 454 2.52 5.49 5.52 53.81 -0.50 0.00 12 0.91 Undirected Bipartite is_viral name entrez_id 4 KiB 5 KiB 5 KiB 5 KiB