Human protein-protein association network

Dataset information

This is a protein-protein association network that includes direct (physical) protein-protein interactions, as well as indirect (functional) associations between human proteins. Nodes represent proteins and edges represent associations between them.

The information is based on direct physical binding of proteins and many other, indirect ways of cooperation and mutual regulation between proteins. For example, proteins can influence each other's production and half-life, exchange reaction products, participate in signal relay mechanisms, or jointly contribute toward specific biological functions. Together, these direct and indirect interactions constitute 'functional associations', a useful operational umbrella-term for specific and functionally productive protein-protein interactions of any type.

References

• Modeling polypharmacy side effects with graph convolutional networks. Marinka Zitnik, Monica Agrawal, and Jure Leskovec. Bioinformatics. 2018.
  Presented at ISMB 2018

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