Literature DB >> 17269898

Toxicological and clinical computational analysis and the US FDA/CDER.

R Daniel Benz1.   

Abstract

In this article the author attempts to introduce those not familiar with computational toxicology to some of the terminology and basic principles of the field. The author then reports on the progress that the FDA, Center for Drug Evaluation and Research has made in compiling databases of toxicological and clinical data from which successful predictive toxicology models have been made, many of which are now commercially available through FDA software developer collaborators. This report is concluded with the author's personal speculations on the future of computational toxicology in general, and at US FDA in particular.

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Year:  2007        PMID: 17269898     DOI: 10.1517/17425255.3.1.109

Source DB:  PubMed          Journal:  Expert Opin Drug Metab Toxicol        ISSN: 1742-5255            Impact factor:   4.481


  6 in total

1.  Many InChIs and quite some feat.

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Review 2.  The High Cost of Stroke and Stroke Cytoprotection Research.

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Review 3.  Genetic toxicology in the 21st century: reflections and future directions.

Authors:  Brinda Mahadevan; Ronald D Snyder; Michael D Waters; R Daniel Benz; Raymond A Kemper; Raymond R Tice; Ann M Richard
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4.  ADMET evaluation in drug discovery: 15. Accurate prediction of rat oral acute toxicity using relevance vector machine and consensus modeling.

Authors:  Tailong Lei; Youyong Li; Yunlong Song; Dan Li; Huiyong Sun; Tingjun Hou
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5.  Predictive models for maximum recommended therapeutic dose of antiretroviral drugs.

Authors:  Michael Lee Branham; Edward A Ross; Thirumala Govender
Journal:  Comput Math Methods Med       Date:  2012-02-28       Impact factor: 2.238

Review 6.  Inroads to predict in vivo toxicology-an introduction to the eTOX Project.

Authors:  Katharine Briggs; Montserrat Cases; David J Heard; Manuel Pastor; François Pognan; Ferran Sanz; Christof H Schwab; Thomas Steger-Hartmann; Andreas Sutter; David K Watson; Jörg D Wichard
Journal:  Int J Mol Sci       Date:  2012-03-21       Impact factor: 6.208

  6 in total

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