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Sci. Signal., 20 April 2010
Vol. 3, Issue 118, p. ra30
[DOI: 10.1126/scisignal.2000723]
RESEARCH ARTICLES
Editor's Summary
Arrhythmic Neighborhood
By integrating protein interaction data with data about the genetics underlying disease, Berger et al. identified a network associated with a specific disease, long QT syndrome (LQTS). This particular, potentially fatal, cardiac disorder can also be caused by various drugs, both those used to treat cardiovascular disease and those used to treat non–cardiac-related conditions. By combining this LQTS network with other genomic data sets, Berger et al. identified genetic variations likely to influence a persons susceptibility to LQTS. By combining this LQTS network with data about adverse effects of drugs, they identified drugs that may induce LQTS. This provides an example of the effectiveness of systems pharmacology in linking drug targets and disease genes through protein interaction networks, which is a step toward personalized medicine and safer drug prescribing.
Citation: S. I. Berger, A. Maayan, R. Iyengar, Systems Pharmacology of Arrhythmias. Sci. Signal.3, ra30 (2010).
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EDITORIAL GUIDES
Nancy R. Gough (6 September 2011) Sci. Signal.4 (189), eg8.
[DOI: 10.1126/scisignal.2002478] |Abstract »|Full Text »|PDF »
PRESENTATIONS
Illés J. Farkas, Tamás Korcsmáros, István A. Kovács, Ágoston Mihalik, Robin Palotai, Gábor I. Simkó, Kristóf Z. Szalay, Máté Szalay-Beko, Tibor Vellai, Shijun Wang, and Peter Csermely (17 May 2011) Sci. Signal.4 (173), pt3.
[DOI: 10.1126/scisignal.2001950] |Abstract »|Full Text »|PDF »|Slideshow »
ELETTER
Correction Information
Science Signaling Editors (13 May 2010) |Full Text »
PODCASTS
Seth I. Berger, Ravi Iyengar, and Annalisa M. VanHook (20 April 2010) Sci. Signal.3 (118), pc8.
[DOI: 10.1126/scisignal.3118pc8] |Abstract »|Full Text »|Podcast »
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