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Sci. Signal., 20 April 2010
[DOI: 10.1126/scisignal.2000723]

Supplementary Materials for:

Systems Pharmacology of Arrhythmias

Seth I. Berger, Avi Ma'ayan, Ravi Iyengar*

*To whom correspondence should be addressed. E-mail: Ravi.Iyengar{at}mssm.edu

This PDF file includes:

  • Fig. S1. Overview of data integration and analysis.
  • Fig. S2. Comparison of node connectivity in networks created by nearest-neighbor expansion or through module distance score based on MFPT.
  • Fig. S3. Average shortest path to seed node as a function of network size.
  • Fig. S4. Network size distribution.
  • Fig. S5. ROC curve for classification of disease genes.
  • Fig. S6. Network modular versus nonmodular diseases: Leave-one-out recovery rate distribution.
  • Fig. S7. The use of the LQTS neighborhood rankings to identify SNPs in the QTSCD GWAS.
  • Fig. S8. The distribution of drug targets.
  • Fig. S9. Methodology for integrating systems pharmacology and personalized medicine.
  • Fig. S10. The distribution of number of drugs associated with each adverse event report in AERS.
  • Fig. S11. Fraction of AERS events involving neighborhood drugs.

[Download PDF]

Technical Details

Format: Adobe Acrobat PDF

Size: 350 KB

Other Supplementary Material for this manuscript includes the following:

  • Table S1. Ranked nodes in the LQTS neighborhood (Excel file).
  • Table S2. Table of diseases and network overlap and recovery rate (Excel file).
  • Table S3. Drugs used to evaluate the LQTS neighborhood (Excel file).
  • Table S4. Ranking of kinase inhibitors based on their targets in LQTS neighborhood (Excel file).

.[Download Tables S1 to S4 (Compressed)]

Technical Details

Format: Microsoft Excel

Size: 585 KB (compressed); 1.9 MB (decompressed)


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Citation: S. I. Berger, A. Ma'ayan, R. Iyengar, Systems Pharmacology of Arrhythmias. Sci. Signal. 3, ra30 (2010).

© 2010 American Association for the Advancement of Science


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