(Q41470792)

1 October 2017

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title

Computational predictive programs (expert systems) in toxicology (English)

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1 October 2017

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1

Benfenati E

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1 October 2017

Gini G

2

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1 October 2017

language of work or name

English

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publication date

1 May 1997

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1 October 2017

number of pages

13

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inferred from page(s)

published in

Toxicology

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1 October 2017

volume

119

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1 October 2017

issue

3

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1 October 2017

page(s)

213-225

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The influence of chemical structure on the extent and sites of carcinogenesis for 522 rodent carcinogens and 55 different human carcinogen exposures

1 October 2017

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Carcinogenicity of azathioprine: an S-AR investigation

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Eliciting principles of hazard identification from experts.

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Computer Automated Structure Evaluation (CASE) of the teratogenicity of retinoids with the aid of a novel geometry index.

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Validation of a novel molecular orbital approach (COMPACT) for the prospective safety evaluation of chemicals, by comparison with rodent carcinogenicity and Salmonella mutagenicity data evaluated by the U.S. NCI/NTP.

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Relationship between molecular connectivity and carcinogenic activity: a confirmation with a new software program based on graph theory

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The structural basis of the genotoxicity of nitroarenofurans and related compounds.

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Assessment of effect levels of chemicals from quantitative structure-activity relationship (QSAR) models. I. Chronic lowest-observed-adverse-effect level (LOAEL).

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The expert system for toxicity prediction of chemicals based on structure-activity relationship

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Assessing the risk assessment paradigm

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Structural relationships between mutagenicity, maximum tolerated dose, and carcinogenicity in rodents.

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Structural implications of the ICPEMC method for quantifying genotoxicity data

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Implications of newly recognized relationships between mutagenicity, genotoxicity and carcinogenicity of molecules.

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Computer Prediction of Possible Toxic Action from Chemical Structure; The DEREK System

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Identifiers

DOI

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1 October 2017

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