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Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
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FutureTox III: Bridges for Translation.

Daland R Juberg1, Thomas B Knudsen2, Miriam Sander3

  • 1Dow AgroSciences, Indianapolis, Indiana; drjuberg@dow.com.

Toxicological Sciences : an Official Journal of the Society of Toxicology
|October 27, 2016
PubMed
Summary

Future Tox III advanced the high-throughput risk assessment paradigm using in vitro and in silico models. Progress is being made in applying predictive toxicology for regulatory decision-making.

Keywords:
in vitro and alternativespredictive toxicologyregulatory/policyrisk assessmenttesting alternatives.

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Area of Science:

  • Toxicology
  • Risk Assessment
  • Computational Biology

Background:

  • The Society of Toxicology's Future Tox III workshop convened to discuss advancements in risk assessment.
  • Building on previous workshops, the focus was on integrating new data sources and models.

Purpose of the Study:

  • To assess progress in implementing a big-data toolbox for risk assessment.
  • To explore challenges and opportunities in predictive toxicology for regulatory decision-making.

Main Methods:

  • The workshop synthesized discussions on in vitro data and in silico models.
  • Case studies highlighted applications within federal agencies.

Main Results:

  • Advancements in predictive toxicology are being applied in federal agencies.
  • Opportunities exist for integrating exposome and Adverse Outcome Pathway (AOP) domains.
  • Bridging historical methods with new approaches like Tox21 is crucial.

Conclusions:

  • The toxicology community is making progress in adopting big-data tools for risk assessment.
  • Continued collaboration is needed to translate new scientific approaches into regulatory practice.