z-logo
open-access-imgOpen Access
Systems Pharmacology
Author(s) -
Boran Aislyn D. W.,
Iyengar Ravi
Publication year - 2010
Publication title -
mount sinai journal of medicine: a journal of translational and personalized medicine
Language(s) - English
Resource type - Journals
eISSN - 1931-7581
pISSN - 0027-2507
DOI - 10.1002/msj.20191
Subject(s) - medicine , drug , drug discovery , systems pharmacology , computational biology , systems biology , drug action , action (physics) , pharmacology , clinical pharmacology , biological network , bioinformatics , biology , physics , quantum mechanics
We examine how physiology and pathophysiology are studied from a systems perspective, using high‐throughput experiments and computational analysis of regulatory networks. We describe the integration of these analyses with pharmacology, which leads to new understanding of drug action and enables drug discovery for complex diseases. Network studies of drug‐target relationships can serve as an indication on the general trends in the approved drugs and the drug‐discovery progress. There is a growing number of targeted therapies approved and in the pipeline, which meets a new set of problems with efficacy and adverse effects. The pitfalls of these mechanistically based drugs are described, along with how a systems view of drug action is increasingly important to uncover intricate signaling mechanisms that play an important part in drug action, resistance mechanisms, and off‐target effects. Computational methodologies enable the classification of drugs according to their structures and to which proteins they bind. Recent studies have combined the structural analyses with analysis of regulatory networks to make predictions about the therapeutic effects of drugs for complex diseases and possible off‐target effects. Mt Sinai J Med 77:333–344, 2010. © 2010 Mount Sinai School of Medicine

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here