Figure 3.

Overview of promising computational opportunities in drug discovery. Text mining is used to extract information from publications and clinical records. Mathematical modeling helps to assess experimental data in the context of previously collected facts, whereas computational data integration distills multiple types of raw data into a collection of computable biological statements. The resulting network of semantic relations can serve as a scaffold for modeling biological processes, for design and optimization of therapeutic drug cocktails and for linking complex phenotypes to genotypes. The figure incorporates ontological concepts outlined in Figure 2: cellular process (such as tissue necrosis), symptoms (in this case, sneezing and allergic rash), genetic variation (depicted as a single nucleotide polymorphism) and drugs (amantadine, valium and aspirin) listed here from top to bottom.