Drug classification systems targets

The pharmacological agents useful in this disorder may be grouped under five broad categories of treatment (Table 64.2). Such a classification system takes into account the mode of drug action, the route of administration, and the means by which target organ selectivity is achieved. 

Classification systems help with nnderstanding what a drug actually does at the molecular level (classihcation by target). 

Furthermore, the recognition of variations across the different scales of spatial and temporal dimensions would enable the identification of shifting therapeutic targets to address both of the individual and the time variances in personalized medicine (see Fig. 1). Accurate and robust biomarkers can also be useful for the stratification of diseases and classification of patient subgroups for more effective prevention and therapy. The prediction of drug responses would in turn help avoid adverse events for better clinical outcomes. In addition, the construction of dynamic disease predictive networks derived from the analyses of omics data would allow for the transition from reactive treatments to holistic and proactive care. With the transformation from disease-centered to human-based care, the systems and dynamical models would provide patient-centric information to enhance the participation of individuals, the goal of participatory medicine. 

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