I discovered CBioC from the article "Software to improve efficiency of medical research," on Arizona State's news web site. CBioC (Collaborative Bio Curation) was created by a team of ASU researchers to analyze vast amounts of biomedical data to located and extract specific information. The program is a browser plugin that interacts with PubMed. It helps researchers who are looking through the literature to find data on protein interactions and their connection to a disease.
Once you have installed CBioC, it will run in a small frame at the bottom of the browser while searching PubMed and when an article is selected, CBioC extracts and displays the facts reported in the article. For example, extracted facts that a certain gene has been found to be linked to brain cancer are added to the CBioC database. Then those facts and other similar ones can be searched from within CBioC. Individual researchers vote on the correctness of CBioC's extracted facts and can share notes and comments about the data with colleagues and other PubMed users.
Researchers at ASU are looking at adapting the software to look for sugar and gene relationships as well as using it with the TGen (the Translational Genomic Research Institute in Phoenix ) for cancer research.

The program is free to download, more information can be found at the CBioC site.

You can also find more information about it through two articles.
Mining Gene-Disease Relationships from Biomedical Literature: Weighting Protein-protein Interactions and Connectivity
Graciela Gonzalez, Juan C. Uribe, Luis Tari Colleen Brophy, Chitta Baral; Pacific Symposium on Biocomputing 12:28-39(2007)

Collaborative Curation of Data from Bio-medical Texts and Abstracts and its integration. Chitta Baral, Hasan Davulcu, Mutsumi Nakamura, Prabhdeep Singh, Lian Yu and Luis Tari. Proc. of he 2nd International Workshop on Data Integration in the Life Sciences (DILS'05), San Diego, July 20–22, 2005. 309-312.