Literature DB >> 20803507

Role of systems pharmacology in understanding drug adverse events.

Seth I Berger1, Ravi Iyengar.   

Abstract

Systems pharmacology involves the application of systems biology approaches, combining large-scale experimental studies with computational analyses, to the study of drugs, drug targets, and drug effects. Many of these initial studies have focused on identifying new drug targets, new uses of known drugs, and systems-level properties of existing drugs. This review focuses on systems pharmacology studies that aim to better understand drug side effects and adverse events. By studying the drugs in the context of cellular networks, these studies provide insights into adverse events caused by off-targets of drugs as well as adverse events-mediated complex network responses. This allows rapid identification of biomarkers for side effect susceptibility. In this way, systems pharmacology will lead to not only newer and more effective therapies, but safer medications with fewer side effects.
Copyright © 2010 John Wiley & Sons, Inc.

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Year:  2010        PMID: 20803507      PMCID: PMC3057924          DOI: 10.1002/wsbm.114

Source DB:  PubMed          Journal:  Wiley Interdiscip Rev Syst Biol Med        ISSN: 1939-005X


  31 in total

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Review 3.  Network analyses in systems pharmacology.

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Journal:  Congest Heart Fail       Date:  2006 Jul-Aug

Review 6.  Cough and angioneurotic edema associated with angiotensin-converting enzyme inhibitor therapy. A review of the literature and pathophysiology.

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7.  A multipathway phosphoproteomic signaling network model of idiosyncratic drug- and inflammatory cytokine-induced toxicity in human hepatocytes.

Authors:  Benjamin D Cosgrove; Leonidas G Alexopoulos; Julio Saez-Rodriguez; Linda G Griffith; Douglas A Lauffenburger
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009

Review 8.  Molecular mechanisms of chemotherapy-induced hair loss.

Authors:  Vladimir A Botchkarev
Journal:  J Investig Dermatol Symp Proc       Date:  2003-06

Review 9.  Opioid receptors in the gastrointestinal tract.

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Journal:  Regul Pept       Date:  2009-04-02

10.  SePreSA: a server for the prediction of populations susceptible to serious adverse drug reactions implementing the methodology of a chemical-protein interactome.

Authors:  Lun Yang; Heng Luo; Jian Chen; Qinghe Xing; Lin He
Journal:  Nucleic Acids Res       Date:  2009-05-05       Impact factor: 16.971

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  45 in total

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Journal:  Cell       Date:  2013-10-10       Impact factor: 41.582

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Journal:  J Mol Graph Model       Date:  2016-08-08       Impact factor: 2.518

3.  Binding site matching in rational drug design: algorithms and applications.

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Review 4.  Mechanistic systems modeling to guide drug discovery and development.

Authors:  Brian J Schmidt; Jason A Papin; Cynthia J Musante
Journal:  Drug Discov Today       Date:  2012-09-19       Impact factor: 7.851

Review 5.  Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive review.

Authors:  Peter Csermely; Tamás Korcsmáros; Huba J M Kiss; Gábor London; Ruth Nussinov
Journal:  Pharmacol Ther       Date:  2013-02-04       Impact factor: 12.310

6.  Auto-Generated Physiological Chain Data for an Ontological Framework for Pharmacology and Mechanism of Action to Determine Suspected Drugs in Cases of Dysuria.

Authors:  Masayo Hayakawa; Takeshi Imai; Yoshimasa Kawazoe; Kouji Kozaki; Kazuhiko Ohe
Journal:  Drug Saf       Date:  2019-09       Impact factor: 5.606

7.  Examination and Estimation of Anticholinergic Burden: Current Trends and Implications for Future Research.

Authors:  Mohammed Saji Salahudeen; Prasad S Nishtala
Journal:  Drugs Aging       Date:  2016-05       Impact factor: 3.923

8.  A tutorial on model informed approaches to cardiovascular safety with focus on cardiac repolarisation.

Authors:  S Y A Cheung; J Parkinson; U Wählby-Hamrén; C D Dota; Å M Kragh; L Bergenholm; T Vik; T Collins; C Arfvidsson; C E Pollard; H K Tomkinson; B Hamrén
Journal:  J Pharmacokinet Pharmacodyn       Date:  2018-05-07       Impact factor: 2.745

Review 9.  Systems biology of cellular membranes: a convergence with biophysics.

Authors:  Morgan Chabanon; Jeanne C Stachowiak; Padmini Rangamani
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2017-05-05

10.  Mechanism-based pharmacodynamic modeling.

Authors:  Melanie A Felmlee; Marilyn E Morris; Donald E Mager
Journal:  Methods Mol Biol       Date:  2012
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