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. Author manuscript; available in PMC: 2011 Jun 1.
Published in final edited form as: J Biomed Inform. 2010 May 1;43(3):376–384. doi: 10.1016/j.jbi.2010.04.006

Figure 2. The study consists of three modules: Data organization, computational prediction and computational evaluation.

Figure 2

In the module of Data organization, two steps generated two different associations used as the inputs to the “prediction of kinase toxicity” module. In step ✠, a dissociation constant is found in a physical kinome map, while in step ✠, drug adverse events were curated from multiple sources. In the modules of prediction of kinase toxicity (step ✠), a quantitative method was developed to identify the prioritized AE-KT association scores (PAS). In the evaluation (step ✠), Pubmed was mined to identify enriched AE-KT pairs from a total of 4,522 putative pairs among 17 AEs that have more than five PKI repeats and 266 observed kinases. Then the findings of the predictive method were evaluated against the text mining results.