This Network was built through BioTAGME, a system that combines TAGME, an entity-annotation framework based on Wikipedia corpus with a network-based inference methodology (i.e., DT-Hybrid). BioTAGME exploits several Biological Ontologies as "ground truth" of significant bio-entities, such as DisGeNET, DrugBank, STRING and many more. We Deployed BioTAGME on PubMed, where the aim was on extracting biological entities and their relations from titles and abstracts. Biological entities are the nodes of our graph, while edges are the relations between them. Edges are of three categories: Literature edges: interactions derived from publications. STRING: protein-protein associations stored in the STRING database. BioTAGME: interactions predicted by our tool.