Human protein-protein interaction network
Dataset information
This is protein-protein interaction network that contains physical interactions between proteins that are experimentally documented in humans, such as metabolic enzyme-coupled interactions and signaling interactions. Nodes represent human proteins and edges represent physical interaction between proteins in a human cell.
| Dataset statistics | |
|---|---|
| Nodes | 21557 |
| Edges | 342353 |
| Nodes in largest SCC | 21521 |
| Fraction of nodes in largest SCC | 1.000000 |
| Edges in largest SCC | 342316 |
| Fraction of edges in largest SCC | 0.999892 |
| Average clustering coefficient | 0.206949 |
| Number of triangles | 55614585 |
| Fraction of closed triangles | 0.045652 |
| Diameter (longest shortest path) | 8 |
| 90-percentile effective diameter | 3.749222 |
The information is restricted to protein-protein interactions that are experimentally verified in wet biological laboratories.
References
- Large-scale analysis of disease pathways in the human interactome. Monica Agrawal, Marinka Zitnik, and Jure Leskovec. Pacific Symposium on Biocomputing. 2018.
Files
| File | Size | Description |
|---|---|---|
| PP-Pathways_ppi.csv.gz | 3.7MB | Human protein-protein interaction network (edgelist) |