Use of high-performance computers to develop
biological network data management/visualization software
Shown here is a network of ~800 Fanconi Anemia Group C (FANCC) expanded protein interactions, visualized using software called ProteoLens (http://www.proteolens.org/) developed by Dr. Jake Chen at Indiana University School of Informatics. The figure shows FANCC protein (the node colored orange in the center) and its related biological networks previously unknown to the Fanconi Anemia disease research community.
This result is based on integration of public bioinformatics data and experimental proteomics data through IU-sponsored Oracle10g databases and supercomputers. In the figure, nodes colored in red are FANCC seed proteins from Tandem-Affinity Purification (TAP) and Mass Spectrometry Pull-down experiments. Nodes colored in blue are proteins expanded from protein interaction recorded from the public Online Predicted Human Protein Interaction Database (OPHID). Edges represent protein interactions: the thicker the line and the redder the line are, the more confidence we know about a particular interaction. In the zoomed version of the visualization (not shown), Fanconi Anemia disease researchers can formulate new hypothesis by examining known proteins, their interactions with other proteins, the generality of interactions, and interaction confidence. Technical and scientific details of this research can be found at http://bio.informatic.iupui.edu/
