A comprehensive model for reproductive and developmental toxicity hazard identification: II. Construction of QSAR models to predict activities of untested chemicals. (Q51773297)

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scientific article published on 18 December 2006

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English	A comprehensive model for reproductive and developmental toxicity hazard identification: II. Construction of QSAR models to predict activities of untested chemicals.	scientific article published on 18 December 2006

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scholarly article

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Europe PubMed Central

PubMed publication ID

12 April 2018

http://europepmc.org/abstract/MED/17175082

A comprehensive model for reproductive and developmental toxicity hazard identification: II. Construction of QSAR models to predict activities of untested chemicals. (English)

1 reference

Europe PubMed Central

PubMed publication ID

12 April 2018

http://europepmc.org/abstract/MED/17175082

author name string

Edwin J Matthews

1

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Europe PubMed Central

PubMed publication ID

12 April 2018

http://europepmc.org/abstract/MED/17175082

Naomi L Kruhlak

2

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Europe PubMed Central

PubMed publication ID

12 April 2018

http://europepmc.org/abstract/MED/17175082

R Daniel Benz

3

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Europe PubMed Central

PubMed publication ID

12 April 2018

http://europepmc.org/abstract/MED/17175082

Julian Ivanov

4

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Europe PubMed Central

PubMed publication ID

12 April 2018

http://europepmc.org/abstract/MED/17175082

Gilles Klopman

5

1 reference

Europe PubMed Central

PubMed publication ID

12 April 2018

http://europepmc.org/abstract/MED/17175082

Joseph F Contrera

6

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Europe PubMed Central

PubMed publication ID

12 April 2018

http://europepmc.org/abstract/MED/17175082

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publication date

18 December 2006

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Europe PubMed Central

PubMed publication ID

12 April 2018

http://europepmc.org/abstract/MED/17175082

Regulatory Toxicology and Pharmacology

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Europe PubMed Central

PubMed publication ID

12 April 2018

http://europepmc.org/abstract/MED/17175082

47

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Europe PubMed Central

PubMed publication ID

12 April 2018

http://europepmc.org/abstract/MED/17175082

2

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Europe PubMed Central

PubMed publication ID

12 April 2018

http://europepmc.org/abstract/MED/17175082

136-155

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Europe PubMed Central

PubMed publication ID

12 April 2018

http://europepmc.org/abstract/MED/17175082

The utility of structure-activity relationship (SAR) models for prediction and covariate selection in developmental toxicity: comparative analysis of logistic regression and decision tree models.

1 reference

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The estrogen receptor relative binding affinities of 188 natural and xenochemicals: structural diversity of ligands.

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Structural determinants of developmental toxicity in hamsters.

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Prediction of estrogen receptor binding for 58,000 chemicals using an integrated system of a tree-based model with structural alerts

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(Q)SARS: gatekeepers against risk on chemicals?

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Evaluation of the ability of a battery of three in vitro genotoxicity tests to discriminate rodent carcinogens and non-carcinogens I. Sensitivity, specificity and relative predictivity

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Structure-activity relationship study of a diverse set of estrogen receptor ligands (I) using MultiCASE expert system

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Screening of high production volume chemicals for estrogen receptor binding activity (II) by the MultiCASE expert system

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Antifungal triazole alcohols: a comparative analysis of structure-activity, structure-teratogenicity and structure-therapeutic index relationships using the Multiple Computer-Automated Structure Evaluation (Multi-CASE) methodology

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Progress in QSAR toxicity screening of pharmaceutical impurities and other FDA regulated products

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Signal Detectability and Medical Decision-Making

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A new highly specific method for predicting the carcinogenic potential of pharmaceuticals in rodents using enhanced MCASE QSAR-ES software

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A comprehensive model for reproductive and developmental toxicity hazard identification: I. Development of a weight of evidence QSAR database

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An analysis of genetic toxicity, reproductive and developmental toxicity, and carcinogenicity data: I. Identification of carcinogens using surrogate endpoints

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7 January 2021

A computationally based identification algorithm for estrogen receptor ligands: part 2. Evaluation of a hERalpha binding affinity model.

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7 January 2021

Potential health effects of drinking water disinfection by-products using quantitative structure toxicity relationship.

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7 January 2021

Integration of computational analysis as a sentinel tool in toxicological assessments

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Robust Classification for Imprecise Environments

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Identification of a 2-D geometric descriptor associated with non-genotoxic carcinogens and some estrogens and antiestrogens.

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7 January 2021

Quantitative structure-activity relationship models for prediction of estrogen receptor binding affinity of structurally diverse chemicals

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Androgen receptor binding affinity of pesticide "active" formulation ingredients. QSAR evaluation by COREPA method

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An integrated "4-phase" approach for setting endocrine disruption screening priorities--phase I and II predictions of estrogen receptor binding affinity

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Decision tree SAR models for developmental toxicity based on an FDA/TERIS database

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Structural determinants of developmental toxicity.

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7 January 2021

Identifiers

10.1016/J.YRTPH.2006.10.001

1 reference

Europe PubMed Central

PubMed publication ID

12 April 2018

http://europepmc.org/abstract/MED/17175082

PubMed publication ID

1 reference

Europe PubMed Central

PubMed publication ID

12 April 2018

http://europepmc.org/abstract/MED/17175082

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