Pathway analysis software as a tool for drug target selection, prioritizatino and validation of drug mechanism

One of the major challenges of drug discovery today is the poor understanding of the detailed molecular mechanisms underlying both disease progression and drug action. insufficient drug specificity and side effects are often discovered during the late stages of drug development, sometimes after the drug is released on the market. These discoveries result in a high target attrition rate, a slow drug design pipeline and high development costs. Recent advances in systems biology and pathway analysis can help make true rational design a reality through the integration of experimental observations with underlying cellular regulation and metabolic networks. It should enable the formulation of better and more informed testable hypotheses with regard to the most efficient target candidates. In this article, the authors overview the broad and heterogeneous field of molecular interaction databases and pathway analysis tools, and the challenges existing in the field. The authors describe and classify different approaches for data acquisition, storage and navigation, give a detailed description of the integrative technology behind the Pathway Studio (R) software solution, and present a comparison with other integrative pathway analysis platforms suitable for drug discovery tasks.