A Network Flow Approach to Predict Protein Targets and Flavonoid Backbones to Treat Respiratory Syncytial Virus Infection

Figure 1

Experimental approach employed to define potential treatments against RSV infection. The interactome data was obtained from microarrays data derived from human bronchial cells infected with RSV. Differential gene expression was considered as initial input for network prospection. Additionally, the natural compounds from flavonoids obtained according to Tanimoto similarity were added to the initial input in STITCH software. The CP-PPI network generated was viewed by Cytoscape and analyzed by ClusterONE in order to identify the major clusters associated. Biological processes found within clusters were retrieved by employing BiNGO plugin. Moreover, to find bottlenecks and hubs, proteins/compounds used CentiScape plugin. Finally, data interpretation was performed based on Zinc database and Osiris Property Explorer.