Books and Book Chapters

      Xenobiotic Metabolism Activation as a Biomarker of Cigarette Smoke Exposure Response

      Iskandar, A. R.

      Date published
      Sep 10, 2015
      DOI
      10.1007/978-1-4939-2778-4_12
      ISBN
      978-1-4939-2778-4
      Published in
      Computational Systems Toxicology
      Editors
      Hoeng, J.; Peitsch, M. C.
      Link to publication
      Topic
      Summary

      The recent advances in “omics” technologies have generated various in silico approaches for toxicity assessment. In silico-based toxicity predictions can overcome certain major drawbacks of laboratory experiments, including the limitation of conducting experiments in a chemical-by-chemical basis that can be expensive. This chapter discusses some recent applications of in silico approaches utilizing xenobiotic metabolism that can be used to assess the impact of cigarette smoke (CS). We first outline recent studies using quantum mechanics/molecular modeling and quantitative structure–activity relationships that focus on smoking-relevant cytochrome P450 (CYP) enzymes. Subsequently, we describe several network-based approaches for toxicity assessment and relevant use cases leveraging a xenobiotic metabolism network model for a quantitative assessment of CS impact.

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