interactome_stelzl — Stelzl human interactome (2005)

Description

A network of interactions between human proteins, from a systematic yeast two-hybrid (Y2H) screen by Stelzl et al. (2005), in which a matrix of 4,456 bait and 5,632 prey proteins was tested by automated interaction mating, identifying 3,186 mostly novel interactions among 1,705 proteins. The data were obtained from the network collection of the Ma'ayan Laboratory (Mount Sinai School of Medicine), which distributed them in its SIG flat file format, with proteins identified by gene symbols and, where available, UniProt accessions. All interactions are of type "Binding".

Nodes are proteins, and edges are directed, following the order of the two proteins in the source file; the meaning of the direction is not documented. Most interactions are listed in both directions (3,016 pairs of proteins are connected both ways), so that the 6,207 directed edges correspond to 3,191 unordered pairs. Self-loops denote proteins that interact with themselves.

The network has the following properties:

Nodes: name, the gene symbol of the protein; uniprot_human and uniprot_mouse, the UniProt accessions of the human protein and of its mouse orthologue (empty if not available).

Tags

Biological Protein interactions Unweighted Metadata

Citation

U. Stelzl et al., "A human protein-protein interaction network: a resource for annotating the proteome." Cell 122(6), 957-968 (2005) 10.1016/j.cell.2005.08.029 Sci-Hub

Upstream URL OK

https://web.archive.org/web/20180916202441/http://research.mssm.edu/maayan/datasets/qualitative_networks.shtml

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
interactome_stelzl	1,706	6,207	3.64	13.79	15.47	77.05	-0.18	0.01	13	0.95	Directed	Unipartite			39 KiB	56 KiB	53 KiB	44 KiB

Ridiculograms^*

^* These are automatically generated force-directed visualizations, and can be quite meaningless for networks both big and small. They should not be taken seriously as sources of scientific insight. See here for a discussion.