Encyclopedia of Systems Biology

2013 Edition
| Editors: Werner Dubitzky, Olaf Wolkenhauer, Kwang-Hyun Cho, Hiroki Yokota

Systems Pharmacology, Drug Disease Interactions

  • Jean-Marc SchwartzEmail author
  • Jose C. Nacher
Reference work entry
DOI: https://doi.org/10.1007/978-1-4419-9863-7_575



Relationships between drugs and pathologies can be characterized in a comprehensive manner by interaction networks, giving a global view of drug disease interactions.


The relationships between drugs and diseases are complex. In the classical view, a particular drug used to be associated to a particular molecular target and to a particular treatment. However, cellular systems are highly interconnected by nature and this view is therefore incomplete. To obtain a comprehensive description of interactions between drugs, targets, and diseases, integrated approaches are needed where the relationships between all these components can be analyzed globally. Network approaches enable such analyses and have the potential to better explain the influence of drugs on diseases, as well as to understand interdependencies between drugs themselves (Spiro et al. 2008).

Network representations of drug–disease interactions necessitate...

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  1. Amberger J, Bocchini CA, Scott AF, Hamosh A (2009) McKusick’s online Mendelian inheritance in man (OMIM). Nucleic Acids Res 37:D793–D796PubMedCrossRefGoogle Scholar
  2. Goh KI, Cusick ME, Valle D, Childs B, Vidal M, Barabási AL (2007) The human disease network. Proc Natl Acad Sci USA 104:8685–8690PubMedCrossRefGoogle Scholar
  3. Kanehisa M, Goto S, Furumichi M, Tanabe M, Hirakawa M (2010) KEGG for representation and analysis of molecular networks involving diseases and drugs. Nucleic Acids Res 38:D355–D360PubMedCrossRefGoogle Scholar
  4. Nacher JC, Schwartz JM (2008) A global view of drug-therapy interactions. BMC Pharmacol 8:5PubMedCrossRefGoogle Scholar
  5. Osborne J, Flatow J, Holko M, Lin S, Kibbe W, Zhu L, Danila MI, Feng G, Chisholm RL (2009) Annotating the human genome with Disease Ontology. BMC Genomics 10:S6PubMedCrossRefGoogle Scholar
  6. Paolini GV, Shapland RHB, van Hoorn WP, Mason JS, Hopkins AL (2006) Global mapping of pharmacological space. Nat Biotechnol 24:805–815PubMedCrossRefGoogle Scholar
  7. Spiro Z, Kovacs IA, Csermely P (2008) Drug-therapy networks and the prediction of novel drug targets. J Biol 7:20PubMedCrossRefGoogle Scholar
  8. WHO Collaborating Centre for Drug Statistics Methodology (2010) ATC classification index with DDDs, Oslo, NorwayGoogle Scholar
  9. Wishart DS, Knox C, Guo AC, Cheng D, Shrivastava S, Tzur D, Gautam B, Hassanali M (2008) DrugBank: a knowledgebase of drugs, drug actions and drug targets. Nucleic Acids Res 36:D901–D906PubMedCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2013

Authors and Affiliations

  1. 1.Manchester Institute of BiotechnologyFaculty of Life Sciences, University of ManchesterManchesterUK
  2. 2.Department of Information ScienceFaculty of Science, Toho UniversityFunabashiJapan