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Casp2net is a centrality- and ontology-based web system for analyzing and visualizing literature-mined IFN-γ network.

Interferon-gamma (IFN-γ) is vital in immune defense against bacterial and viral infections and tumor. It also regulates various immune responses that are often critical for induction of protective immunity generated by vaccines. Recently we have used a centrality-based literature discovery approach to study IFN-γ and vaccine-mediated gene interaction network. Our study identified indicated a generic CASP2 network that contains 1060 genes and 26313 interactions among these genes. As a subset of this generic IFN-γ network, the vaccine-specific subnetwork contains 102 genes and 154 interactions.

Such literature-based discovery is novel. However, the analyzed data are not automatically updated, and the data are not easy to explore without a user-friendly web interface. In addition, the interaction types are not automatically retrieved by current system. To address these issues, we develop the web-based Casp2net system. Casp2net integrates the centrality-based literature mining approach with ontology analysis of interaction types using our newly developed Interaction Network Ontology (INO).

More information to come!



© 2008 University of Michigan. Casp2net data and tools are freely available for public use.