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Drug discovery

Computer model predicts side effects

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Drug candidates are usually found to be unsafe only late in the drug discovery process. A method for predicting the many biological targets of a given molecule might allow drug safety to be considered much earlier. See Article p.361

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Figure 1: Assessing the risks.

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References

  1. Lounkine, E. et al. Nature http://dx.doi.org/10.1038/nature11159 (2012).

  2. Sasseville, V. G. et al. Chem. Biol. Interact. 150, 9–25 (2004).

    Article  CAS  Google Scholar 

  3. Schwartz, G. G. Curr. Atheroscler. Rep. 14, 41–48 (2012).

    Article  CAS  Google Scholar 

  4. Park, S. C., Chun, H. J., Kang, C. D. & Sul, D. World J. Gastroenterol. 17, 4647–4653 (2011).

    Article  CAS  Google Scholar 

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Authors and Affiliations

  1. Kyle Kolaja is in the Department of Nonclinical Safety, Hoffman-La Roche, Nutley, New Jersey 07110, USA.,

    Kyle Kolaja

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  1. Kyle Kolaja
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Correspondence to Kyle Kolaja.

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Kolaja, K. Computer model predicts side effects. Nature 486, 326–327 (2012). https://doi.org/10.1038/nature11198

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