Literature DB >> 2300064

Structural basis of carcinogenicity in rodents of genotoxicants and non-genotoxicants.

H S Rosenkranz1, G Klopman.   

Abstract

A set of 189 chemicals tested in the National Toxicology Program Cancer Bioassay was subjected to analysis by CASE, the Computer-Automated Structure Evaluation system. In the data set, 63% of the chemicals were carcinogens, approx. 40% of the carcinogens were non-genotoxic, i.e., they possessed neither "structural alerts" for DNA reactivity as defined by Ashby and Tennant, 1988, nor were they mutagenic for Salmonella. The data base can be characterized as a "combined rodent" compilation as chemicals were characterized as "carcinogenic" if they were carcinogenic in either rats or mice or both. CASE identified 23 fragments which accounted for the carcinogenicity, or lack thereof, of most of the chemicals. The sensitivity and specificity were unexpectedly high: 1.00 and 0.86, respectively. Based upon the identified biophores and biophobes, CASE performed exceedingly well in predicting the activity of chemicals not included among the 189 in the original set. CASE predicted correctly the carcinogenicity of non-genotoxic carcinogens thereby suggesting a structural commonality in the action of this group of carcinogens. As a matter of fact biophores restricted to non-genotoxic carcinogens were identified as were "non-electrophilic" biophores shared by genotoxic and non-genotoxic carcinogens. The findings suggest that the CASE program may help in the elucidation of the basis of the action of non-genotoxic carcinogens.

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Year:  1990        PMID: 2300064     DOI: 10.1016/0027-5107(90)90067-e

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


  7 in total

1.  Mammary carcinogen-protein binding potentials: novel and biologically relevant structure-activity relationship model descriptors.

Authors:  A R Cunningham; S Qamar; C A Carrasquer; P A Holt; J M Maguire; S L Cunningham; J O Trent
Journal:  SAR QSAR Environ Res       Date:  2010-07       Impact factor: 3.000

2.  Use of electron-electron repulsion energy as a molecular descriptor in QSAR and QSPR studies.

Authors:  X Gironés; L Amat; D Robert; R Carbó-Dorca
Journal:  J Comput Aided Mol Des       Date:  2000-07       Impact factor: 3.686

3.  Structure-activity relationship models for rat carcinogenesis and assessing the role mutagens play in model predictivity.

Authors:  C A Carrasquer; K Batey; S Qamar; A R Cunningham; S L Cunningham
Journal:  SAR QSAR Environ Res       Date:  2014-04-04       Impact factor: 3.000

4.  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

5.  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

6.  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

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

Authors:  D Malacarne; R Pesenti; M Paolucci; S Parodi
Journal:  Environ Health Perspect       Date:  1993-09       Impact factor: 9.031

  7 in total

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