Abstract: The disclosure provides a method of evaluation pharmacological activity of a compound, such as a drug candidate, which method combines computational bioinformatics with laboratory validation. In an embodiment, the method involves the creation of a network based on correlation coefficients calculated from a data set generated by exposing the compound to a biological model and gene-against-gene clustering. The network is then validated against, for example, a standard network based on natural language searching. The validated interactions are then run through a simulation scheme to develop a hierarchy of genes that are affected by the compound and that control genes in the network. Laboratory validation is conducted on any gene interactions that could not be otherwise validated. In one embodiment, the final results are compiled into a searchable database.

Abstract: A system and method of predicting disease behavior is disclosed that includes one or more independent components that also interact to produce a prediction of disease behavior based on mathematical modeling of the biological mechanisms and historical patient data.