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Related Experiment Videos

Predicting human safety: screening and computational approaches.

Johnson1, Wolfgang

  • 1ddplatform LLC, 6027 Christie Avenue, 94608, Emeryville, CA, USA

Drug Discovery Today
|October 6, 2000
PubMed
Summary
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Predictive safety testing is evolving with enhanced databases and computational tools to improve drug development. This shift aims to reduce failure rates, costs, and time for drug approval.

Area of Science:

  • Pharmacology and Toxicology
  • Computational Chemistry
  • Drug Development

Background:

  • Current preclinical safety evaluation relies on computational methods, in vitro screening, and in vivo studies.
  • The pharmaceutical industry is rapidly transitioning to electronic research and development (e-R&D).

Purpose of the Study:

  • To highlight the imperative for predictive safety testing to evolve into an information-rich, knowledge-based process.
  • To discuss the expected impact of enhanced databases and computational tools on drug toxicity assessment.

Main Methods:

  • Review of current preclinical safety evaluation strategies.
  • Analysis of the impact of e-R&D on drug safety assessment.
  • Discussion of the role of enhanced databases and computational tools.

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Main Results:

  • Enhanced databases and computational tools are expected to transform drug toxicity assessment in pharmaceutical R&D.
  • Expert utilization of these prediction tools is anticipated to improve drug development outcomes.

Conclusions:

  • The integration of advanced computational tools and databases is crucial for modernizing predictive safety testing.
  • This evolution promises to lower drug development failure rates and accelerate the approval process.