Literature DB >> 16445125

Landscape of current toxicity databases and database standards.

Chihae Yang1, R Daniel Benz, Mitchell A Cheeseman.   

Abstract

Having readily available historical information for modeling toxicity has become important throughout the various stages of research and development. The high cost of late-phase attrition and recent international regulatory legislations have made even more acute the need to be able to mine the fragmented data and information available across diverse databases. In addition, the general trend to accelerate regulatory processes globally makes the effective use of existing data an imperative. To achieve efficient screening, develop profiles and gain the ability to cross reference, databases must be interoperated to allow data exchange and integration. Several database standards and controlled vocabulary initiatives have been used in the development of toxicity data models to transform the current landscape. This review describes the major databases of toxicological information now available, and provides a simple example of standardization that demonstrates the benefits of a toxicity database containing such qualified data.

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Year:  2006        PMID: 16445125

Source DB:  PubMed          Journal:  Curr Opin Drug Discov Devel        ISSN: 1367-6733


  7 in total

1.  Identification of previously unrecognized antiestrogenic chemicals using a novel virtual screening approach.

Authors:  Ching Y Wang; Ni Ai; Sonia Arora; Eric Erenrich; Karthigeyan Nagarajan; Randy Zauhar; Douglas Young; William J Welsh
Journal:  Chem Res Toxicol       Date:  2006-12       Impact factor: 3.739

2.  Quantitative structure-activity relationship modeling of rat acute toxicity by oral exposure.

Authors:  Hao Zhu; Todd M Martin; Lin Ye; Alexander Sedykh; Douglas M Young; Alexander Tropsha
Journal:  Chem Res Toxicol       Date:  2009-12       Impact factor: 3.739

Review 3.  From QSAR to QSIIR: searching for enhanced computational toxicology models.

Authors:  Hao Zhu
Journal:  Methods Mol Biol       Date:  2013

4.  Scientific software development is not an oxymoron.

Authors:  Susan M Baxter; Steven W Day; Jacquelyn S Fetrow; Stephanie J Reisinger
Journal:  PLoS Comput Biol       Date:  2006-09-08       Impact factor: 4.475

5.  Profiling chemicals based on chronic toxicity results from the U.S. EPA ToxRef Database.

Authors:  Matthew T Martin; Richard S Judson; David M Reif; Robert J Kavlock; David J Dix
Journal:  Environ Health Perspect       Date:  2008-10-20       Impact factor: 9.031

6.  Finding toxicological information: An approach for occupational health professionals.

Authors:  Irja Laamanen; Jos Verbeek; Giuliano Franco; Marika Lehtola; Marita Luotamo
Journal:  J Occup Med Toxicol       Date:  2008-08-13       Impact factor: 2.646

Review 7.  The toxicity data landscape for environmental chemicals.

Authors:  Richard Judson; Ann Richard; David J Dix; Keith Houck; Matthew Martin; Robert Kavlock; Vicki Dellarco; Tala Henry; Todd Holderman; Philip Sayre; Shirlee Tan; Thomas Carpenter; Edwin Smith
Journal:  Environ Health Perspect       Date:  2008-12-22       Impact factor: 9.031

  7 in total

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