Literature DB >> 22417173

Systems pharmacology of complex diseases.

Jens Hansen1, Shan Zhao, Ravi Iyengar.   

Abstract

Systems pharmacology approaches can be used to identify and predict drug-induced adverse events. Disease-centered networks within the human interactome allow us to predict which drugs may produce a similar pathophysiology. Such predictions can be tested in animal models.
© 2012 New York Academy of Sciences.

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Year:  2011        PMID: 22417173      PMCID: PMC3620720          DOI: 10.1111/j.1749-6632.2011.06382.x

Source DB:  PubMed          Journal:  Ann N Y Acad Sci        ISSN: 0077-8923            Impact factor:   5.691


  9 in total

Review 1.  Signaling networks: the origins of cellular multitasking.

Authors:  J D Jordan; E M Landau; R Iyengar
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2.  Pharmacogenomics--drug disposition, drug targets, and side effects.

Authors:  William E Evans; Howard L McLeod
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3.  Systems pharmacology of arrhythmias.

Authors:  Seth I Berger; Avi Ma'ayan; Ravi Iyengar
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Review 4.  Toward predictive models of mammalian cells.

Authors:  Avi Ma'ayan; Robert D Blitzer; Ravi Iyengar
Journal:  Annu Rev Biophys Biomol Struct       Date:  2005

Review 5.  Update on epidermal growth factor receptor mutations in non-small cell lung cancer.

Authors:  Gregory J Riely; Katerina A Politi; Vincent A Miller; William Pao
Journal:  Clin Cancer Res       Date:  2006-12-15       Impact factor: 12.531

6.  Network analysis of FDA approved drugs and their targets.

Authors:  Avi Ma'ayan; Sherry L Jenkins; Joseph Goldfarb; Ravi Iyengar
Journal:  Mt Sinai J Med       Date:  2007-04

Review 7.  Network analyses in systems pharmacology.

Authors:  Seth I Berger; Ravi Iyengar
Journal:  Bioinformatics       Date:  2009-07-30       Impact factor: 6.937

Review 8.  PPARS, insulin resistance and type 2 diabetes.

Authors:  F Kaplan; K Al-Majali; D J Betteridge
Journal:  J Cardiovasc Risk       Date:  2001-08

9.  Mining Alzheimer disease relevant proteins from integrated protein interactome data.

Authors:  Jake Yue Chen; Changyu Shen; Andrey Y Sivachenko
Journal:  Pac Symp Biocomput       Date:  2006
  9 in total
  10 in total

Review 1.  Systems Pharmacology Links GPCRs with Retinal Degenerative Disorders.

Authors:  Yu Chen; Krzysztof Palczewski
Journal:  Annu Rev Pharmacol Toxicol       Date:  2015-03-23       Impact factor: 13.820

2.  Systems pharmacology identifies drug targets for Stargardt disease-associated retinal degeneration.

Authors:  Yu Chen; Grazyna Palczewska; Debarshi Mustafi; Marcin Golczak; Zhiqian Dong; Osamu Sawada; Tadao Maeda; Akiko Maeda; Krzysztof Palczewski
Journal:  J Clin Invest       Date:  2013-11-15       Impact factor: 14.808

3.  Evolving Schema for Employing Network Biology Approaches to Understand Pulmonary Hypertension.

Authors:  Shohini Ghosh-Choudhary; Stephen Y Chan
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

Review 4.  Systems biology for molecular life sciences and its impact in biomedicine.

Authors:  Miguel Ángel Medina
Journal:  Cell Mol Life Sci       Date:  2012-08-19       Impact factor: 9.261

Review 5.  The emerging paradigm of network medicine in the study of human disease.

Authors:  Stephen Y Chan; Joseph Loscalzo
Journal:  Circ Res       Date:  2012-07-20       Impact factor: 17.367

6.  Regulation of Adrenergic, Serotonin, and Dopamine Receptors to Inhibit Diabetic Retinopathy: Monotherapies versus Combination Therapies.

Authors:  Timothy S Kern; Yunpeng Du; Jie Tang; Chieh Allen Lee; Haitao Liu; Alyssa Dreffs; Henri Leinonen; David A Antonetti; Krzysztof Palczewski
Journal:  Mol Pharmacol       Date:  2021-08-15       Impact factor: 4.054

7.  Synergistically acting agonists and antagonists of G protein-coupled receptors prevent photoreceptor cell degeneration.

Authors:  Yu Chen; Grazyna Palczewska; Ikuo Masuho; Songqi Gao; Hui Jin; Zhiqian Dong; Linn Gieser; Matthew J Brooks; Philip D Kiser; Timothy S Kern; Kirill A Martemyanov; Anand Swaroop; Krzysztof Palczewski
Journal:  Sci Signal       Date:  2016-07-26       Impact factor: 8.192

Review 8.  Personalizing health care: feasibility and future implications.

Authors:  Brian Godman; Alexander E Finlayson; Parneet K Cheema; Eva Zebedin-Brandl; Inaki Gutiérrez-Ibarluzea; Jan Jones; Rickard E Malmström; Elina Asola; Christoph Baumgärtel; Marion Bennie; Iain Bishop; Anna Bucsics; Stephen Campbell; Eduardo Diogene; Alessandra Ferrario; Jurij Fürst; Kristina Garuoliene; Miguel Gomes; Katharine Harris; Alan Haycox; Harald Herholz; Krystyna Hviding; Saira Jan; Marija Kalaba; Christina Kvalheim; Ott Laius; Sven-Ake Lööv; Kamila Malinowska; Andrew Martin; Laura McCullagh; Fredrik Nilsson; Ken Paterson; Ulrich Schwabe; Gisbert Selke; Catherine Sermet; Steven Simoens; Dominik Tomek; Vera Vlahovic-Palcevski; Luka Voncina; Magdalena Wladysiuk; Menno van Woerkom; Durhane Wong-Rieger; Corrine Zara; Raghib Ali; Lars L Gustafsson
Journal:  BMC Med       Date:  2013-08-13       Impact factor: 8.775

Review 9.  Metabolomics and systems pharmacology: why and how to model the human metabolic network for drug discovery.

Authors:  Douglas B Kell; Royston Goodacre
Journal:  Drug Discov Today       Date:  2013-07-26       Impact factor: 7.851

Review 10.  Towards structural systems pharmacology to study complex diseases and personalized medicine.

Authors:  Lei Xie; Xiaoxia Ge; Hepan Tan; Li Xie; Yinliang Zhang; Thomas Hart; Xiaowei Yang; Philip E Bourne
Journal:  PLoS Comput Biol       Date:  2014-05-15       Impact factor: 4.475

  10 in total

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