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Network Neighbors of Drug Targets Contribute to Drug Side-Effect Similarity

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  • Lucas Brouwers
  • Murat Iskar
  • Georg Zeller
  • Vera van Noort
  • Peer Bork

Abstract

In pharmacology, it is essential to identify the molecular mechanisms of drug action in order to understand adverse side effects. These adverse side effects have been used to infer whether two drugs share a target protein. However, side-effect similarity of drugs could also be caused by their target proteins being close in a molecular network, which as such could cause similar downstream effects. In this study, we investigated the proportion of side-effect similarities that is due to targets that are close in the network compared to shared drug targets. We found that only a minor fraction of side-effect similarities (5.8 %) are caused by drugs targeting proteins close in the network, compared to side-effect similarities caused by overlapping drug targets (64%). Moreover, these targets that cause similar side effects are more often in a linear part of the network, having two or less interactions, than drug targets in general. Based on the examples, we gained novel insight into the molecular mechanisms of side effects associated with several drug targets. Looking forward, such analyses will be extremely useful in the process of drug development to better understand adverse side effects.

Suggested Citation

  • Lucas Brouwers & Murat Iskar & Georg Zeller & Vera van Noort & Peer Bork, 2011. "Network Neighbors of Drug Targets Contribute to Drug Side-Effect Similarity," PLOS ONE, Public Library of Science, vol. 6(7), pages 1-7, July.
    • Handle: RePEc:plo:pone00:0022187
    DOI: 10.1371/journal.pone.0022187
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    1. Michael J. Keiser & Vincent Setola & John J. Irwin & Christian Laggner & Atheir I. Abbas & Sandra J. Hufeisen & Niels H. Jensen & Michael B. Kuijer & Roberto C. Matos & Thuy B. Tran & Ryan Whaley & Ri, 2009. "Predicting new molecular targets for known drugs," Nature, Nature, vol. 462(7270), pages 175-181, November.
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