459
Views
0
CrossRef citations to date
0
Altmetric
Editorial

Systems Pharmacology Meets Predictive, Preventive, Personalized and Participatory Medicine

&
Pages 119-122 | Published online: 17 Jan 2013

References

  • Hood L , FriendSH. Predictive, personalized, preventive, participatory (P4) cancer medicine. Nat. Rev. Clin. Oncol.8(3) , 184–187 (2011).
  • The 1000 Genomes Project Consortium. A map of human genome variation from population-scale sequencing. Nature467(7319) , 1061–1073 (2010).
  • Chen R , MiasGI, Li-Pook-ThanJ et al. Personal omics profiling reveals dynamic molecular and medical phenotypes. Cell 148(6) , 1293–1307 (2012).
  • Turnbaugh PJ , LeyRE, HamadyM, Fraser-LiggettCM, KnightR, GordonJI. The human microbiome project. Nature449(7164) , 804–810 (2007).
  • Lamb J , CrawfordED, PeckD et al. The connectivity map: using gene-expression signatures to connect small molecules, genes, and disease. Science 313(5795) , 1929–1935 (2006).
  • Dannenfelser R , XuH, RaimondC, Ma‘ayanA, MacArthurBD. Network pharmacology to aid the drug discovery process. In: New Frontiers of Network Analysis in Systems Biology. Ma‘ayan A, MacArthur BD (Eds). Springer, Dordrecht, The Netherlands , 161–172 (2012).
  • Knudsen T , MartinM, ChandlerK, KleinstreuerN, JudsonR, SipesN. Predictive models and computational toxicology. Methods Mol. Biol.947 , 343–374 (2013).
  • Chen EY , XuH, GordonovS, LimMP, PerkinsMH, Ma‘ayanA. Expression 2 kinases: mRNA profiling linked to multiple upstream regulatory layers. Bioinformatics28(1) , 105–111 (2012).
  • Takahashi K , YamanakaS. Induction of pluripotent stem cells from mouse embryonic and adult fibroblast cultures by defined factors. Cell126(4) , 663–676 (2006).
  • Pollack A . Seeking cures, patients enlist mice stand-ins. The New York Times, 25 September (2012).
  • Kanehisa M , GotoS, FurumichiM, TanabeM, HirakawaM. KEGG for representation and analysis of molecular networks involving diseases and drugs. Nucleic Acids Res.38(Suppl. 1) , D355–D360 (2010).
  • Cami A , ArnoldA, ManziS, ReisB. Predicting adverse drug events using pharmacological network models. Sci. Transl. Med.3(114) , 114ra127 (2011).
  • Tatonetti NP , DennyJC, MurphySN et al. Detecting drug interactions from adverse-event reports: interaction between paroxetine and pravastatin increases blood glucose levels. Clin. Pharmacol. Ther. 90(1) , 133–142 (2011).
  • Berger SI , Ma‘ayanA, IyengarR. Systems pharmacology of arrhythmias. Sci. Signal.3(118) , ra30 (2010).
  • Pople HE, Myers JD, Miller RA. DIALOG: a model of diagnostic logic for internal medicine. In: Proceedings of the 4th International Joint Conference on Artificial Intelligence (Volume 1). Morgan Kaufmann Publishers Inc., CA, USA (1975).
  • Ferrucci D , BrownE, Chu-CarrollJ et al. Building Watson: an overview of the DeepQA project. AI Mag. 31(3) , 59–79 (2010).
  • Ma‘ayan A . Colliding dynamical complex network models: biological attractors versus attractors from material physics. Biophys. J.103(9) , 1816–1817 (2012).

▪ Websites

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.