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Three public biological network data sets (KEGG, GeneRIF and Reactome) are collected and described. Two problems are investigated (inter- and intra- cellular interactions) via augmentation of the collected networks to the problem specific data. Results include an estimate of the importance of proteins for the interaction of inflammatory cells with the bloodbrain barrier via the computation of Betweenness Centrality. Subsequently, the interactions may be validated from a number of differing perspectives; including comparison with (i) existing biological results, (ii) the literature, and (iii) new hypothesis driven biological experiments. Novel therapeutic and diagnostic targets for inhibiting inflammation at the blood-brain barrier in a number of brain diseases including Alzheimer\u2019s disease, stroke and multiple sclerosis are possible. In addition, this methodology may also be applicable towards investigating the breast cancer tumour microenvironment.Peer reviewed: YesNRC publication: Ye

Towards Inter- and Intra- Cellular Protein Interaction Analysis: Applying the Betweenness Centrality Graph Measure for Node Importance