Literature DB >> 8933048

The NIEHS Predictive-Toxicology Evaluation Project.

D W Bristol1, J T Wachsman, A Greenwell.   

Abstract

The Predictive-Toxicology Evaluation (PTE) project conducts collaborative experiments that subject the performance of predictive-toxicology (PT) methods to rigorous, objective evaluation in a uniquely informative manner. Sponsored by the National Institute of Environmental Health Sciences, it takes advantage of the ongoing testing conducted by the U.S. National Toxicology Program (NTP) to estimate the true error of models that have been applied to make prospective predictions on previously untested, noncongeneric-chemical substances. The PTE project first identifies a group of standardized NTP chemical bioassays either scheduled to be conducted or are ongoing, but not yet complete. The project then announces and advertises the evaluation experiment, disseminates information about the chemical bioassays, and encourages researchers from a wide variety of disciplines to publish their predictions in peer-reviewed journals, using whatever approaches and methods they feel are best. A collection of such papers is published in this Environmental Health Perspectives Supplement, providing readers the opportunity to compare and contrast PT approaches and models, within the context of their prospective application to an actual-use situation. This introduction to this collection of papers on predictive toxicology summarizes the predictions made and the final results obtained for the 44 chemical carcinogenesis bioassays of the first PTE experiment (PTE-1) and presents information that identifies the 30 chemical carcinogenesis bioassays of PTE-2, along with a table of prediction sets that have been published to date. It also provides background about the origin and goals of the PTE project, outlines the special challenge associated with estimating the true error of models that aspire to predict open-system behavior, and summarizes what has been learned to date.

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Year:  1996        PMID: 8933048      PMCID: PMC1469687          DOI: 10.1289/ehp.96104s51001

Source DB:  PubMed          Journal:  Environ Health Perspect        ISSN: 0091-6765            Impact factor:   9.031


  21 in total

Review 1.  Scientific concepts, value, and significance of chemical carcinogenesis studies.

Authors:  J Huff; J Haseman; D Rall
Journal:  Annu Rev Pharmacol Toxicol       Date:  1991       Impact factor: 13.820

2.  Use of the Syrian hamster embryo cell transformation assay for carcinogenicity prediction of chemicals currently being tested by the National Toxicology Program in rodent bioassays.

Authors:  G A Kerckaert; R Brauninger; R A LeBoeuf; R J Isfort
Journal:  Environ Health Perspect       Date:  1996-10       Impact factor: 9.031

3.  A RASH analysis of National Toxicology Program data: predictions for 30 compounds to be tested in rodent carcinogenesis experiments.

Authors:  T D Jones; C E Easterly
Journal:  Environ Health Perspect       Date:  1996-10       Impact factor: 9.031

4.  Prediction of the rodent carcinogenicity of organic compounds from their chemical structures using the FALS method.

Authors:  I Moriguchi; H Hirano; S Hirono
Journal:  Environ Health Perspect       Date:  1996-10       Impact factor: 9.031

5.  Multicomponent criteria for predicting carcinogenicity: dataset of 30 NTP chemicals.

Authors:  J Huff; E Weisburger; V A Fung
Journal:  Environ Health Perspect       Date:  1996-10       Impact factor: 9.031

6.  Carcinogenicity predictions for a group of 30 chemicals undergoing rodent cancer bioassays based on rules derived from subchronic organ toxicities.

Authors:  Y Lee; B G Buchanan; H S Rosenkranz
Journal:  Environ Health Perspect       Date:  1996-10       Impact factor: 9.031

7.  Prediction of rodent carcinogenicity of further 30 chemicals bioassayed by the U.S. National Toxicology Program.

Authors:  R Benigni; C Andreoli; R Zito
Journal:  Environ Health Perspect       Date:  1996-10       Impact factor: 9.031

8.  Prediction of rodent carcinogenicity bioassays from molecular structure using inductive logic programming.

Authors:  R D King; A Srinivasan
Journal:  Environ Health Perspect       Date:  1996-10       Impact factor: 9.031

9.  Prediction of the carcinogenicity of a second group of organic chemicals undergoing carcinogenicity testing.

Authors:  Y P Zhang; N Sussman; O T Macina; H S Rosenkranz; G Klopman
Journal:  Environ Health Perspect       Date:  1996-10       Impact factor: 9.031

10.  Prediction of rodent carcinogenicity using the DEREK system for 30 chemicals currently being tested by the National Toxicology Program. The DEREK Collaborative Group.

Authors:  C A Marchant
Journal:  Environ Health Perspect       Date:  1996-10       Impact factor: 9.031

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  9 in total

1.  Warmr: a data mining tool for chemical data.

Authors:  R D King; A Srinivasan; L Dehaspe
Journal:  J Comput Aided Mol Des       Date:  2001-02       Impact factor: 3.686

Review 2.  Paradigm shift in toxicity testing and modeling.

Authors:  Hongmao Sun; Menghang Xia; Christopher P Austin; Ruili Huang
Journal:  AAPS J       Date:  2012-04-20       Impact factor: 4.009

3.  Comparison of 17 methods of predicting the carcinogenicity of 30 chemicals.

Authors:  J Ashby
Journal:  Environ Health Perspect       Date:  1997-05       Impact factor: 9.031

4.  13th meeting of the Scientific Group on Methodologies for the Safety Evaluation of Chemicals (SGOMSEC): alternative testing methodologies and conceptual issues.

Authors:  B J Blaauboer; M Balls; M Barratt; S Casati; S Coecke; M K Mohamed; J Moore; D Rall; K R Smith; R Tennant; B A Schwetz; W S Stokes; M Younes
Journal:  Environ Health Perspect       Date:  1998-04       Impact factor: 9.031

5.  Solvent replacement for green processing.

Authors:  J Sherman; B Chin; P D Huibers; R Garcia-Valls; T A Hatton
Journal:  Environ Health Perspect       Date:  1998-02       Impact factor: 9.031

6.  Data quality in predictive toxicology: identification of chemical structures and calculation of chemical properties.

Authors:  C Helma; S Kramer; B Pfahringer; E Gottmann
Journal:  Environ Health Perspect       Date:  2000-11       Impact factor: 9.031

7.  p53 induction as a genotoxic test for twenty-five chemicals undergoing in vivo carcinogenicity testing.

Authors:  P J Duerksen-Hughes; J Yang; O Ozcan
Journal:  Environ Health Perspect       Date:  1999-10       Impact factor: 9.031

8.  Data mining in the U.S. National Toxicology Program (NTP) database reveals a potential bias regarding liver tumors in rodents irrespective of the test agent.

Authors:  Matthias Ring; Bjoern M Eskofier
Journal:  PLoS One       Date:  2015-02-06       Impact factor: 3.240

Review 9.  Priorities for development of research methods in occupational cancer.

Authors:  Elizabeth M Ward; Paul A Schulte; Steve Bayard; Aaron Blair; Paul Brandt-Rauf; Mary Ann Butler; David Dankovic; Ann F Hubbs; Carol Jones; Myra Karstadt; Gregory L Kedderis; Ronald Melnick; Carrie A Redlich; Nathaniel Rothman; Russell E Savage; Michael Sprinker; Mark Toraason; Ainsley Weston; Andrew F Olshan; Patricia Stewart; Sheila Hoar Zahm
Journal:  Environ Health Perspect       Date:  2003-01       Impact factor: 9.031

  9 in total

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