Literature DB >> 6717460

Structural requirements for the mutagenicity of environmental nitroarenes.

G Klopman, H S Rosenkranz.   

Abstract

The nitroarenes comprise a large group of widely distributed environmental agents some of which are extraordinarily mutagenic while others are devoid of such activity. A newly developed computer program has been used to determine which structural features of these molecules might account for this broad spectrum of activities. Using Salmonella mutagenicity data for 53 nitroarenes , 2 fragments associated with activity and 2 deactivating fragments have been identified. The coexistence of an active and a deactivating fragment on the same molecule results in a nitroarene possessing marginal or no mutagenicity. The activity of 47 of 53 nitroarenes was correctly predicted by this procedure. Most of the discrepancies involved hexa- and heptacyclic nitroarenes which were predicted to be active but reported to be inactive. The 'CASE' program can be used to predict the mutagenicity of the many untested nitroarenes identified in the ambient environment.

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Year:  1984        PMID: 6717460     DOI: 10.1016/0027-5107(84)90001-0

Source DB:  PubMed          Journal:  Mutat Res        ISSN: 0027-5107            Impact factor:   2.433


  5 in total

1.  Computer simulation of biological systems. Current trends.

Authors:  J R Lumb
Journal:  Mol Cell Biochem       Date:  1987-02       Impact factor: 3.396

2.  Estimating the extent of the health hazard posed by high-production volume chemicals.

Authors:  A R Cunningham; H S Rosenkranz
Journal:  Environ Health Perspect       Date:  2001-09       Impact factor: 9.031

3.  Structure-activity relations: maximizing the usefulness of mutagenicity and carcinogenicity databases.

Authors:  G Klopman; H Rosenkranz
Journal:  Environ Health Perspect       Date:  1991-12       Impact factor: 9.031

4.  Predicting toxicity through a computer automated structure evaluation program.

Authors:  G Klopman
Journal:  Environ Health Perspect       Date:  1985-09       Impact factor: 9.031

5.  Improvement of quantitative structure-activity relationship (QSAR) tools for predicting Ames mutagenicity: outcomes of the Ames/QSAR International Challenge Project.

Authors:  Masamitsu Honma; Airi Kitazawa; Alex Cayley; Richard V Williams; Chris Barber; Thierry Hanser; Roustem Saiakhov; Suman Chakravarti; Glenn J Myatt; Kevin P Cross; Emilio Benfenati; Giuseppa Raitano; Ovanes Mekenyan; Petko Petkov; Cecilia Bossa; Romualdo Benigni; Chiara Laura Battistelli; Alessandro Giuliani; Olga Tcheremenskaia; Christine DeMeo; Ulf Norinder; Hiromi Koga; Ciloy Jose; Nina Jeliazkova; Nikolay Kochev; Vesselina Paskaleva; Chihae Yang; Pankaj R Daga; Robert D Clark; James Rathman
Journal:  Mutagenesis       Date:  2019-03-06       Impact factor: 3.000

  5 in total

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