title: Interrelationships among carcinogenicity, mutagenicity, acute toxicity, and chemical structure in a genotoxicity data base.
abstract: The interrelationships among carcinogenicity, mutagenicity, acute toxicity (LD50), and a number of molecular descriptors were studied by computerized data analysis methods on the data base generated by the International Program for the Evaluation of Short-Term Tests for Carcinogens (IPESTTC). With the use of statistical regression methods, three main associations were evidenced: (1) the well-known correlation between carcinogenicity and mutagenicity; (2) a correlation between mutagenicity and toxicity (LD50 ip in mice); and (3) a correlation between toxicity and a recently introduced estimator of the free energy of binding of the molecules to biological receptors. As expected on the basis of the large variety of chemical classes represented in the IPESTTC data base, no simple relationship between mutagenicity or carcinogenicity and chemical descriptors was found. To overcome this problem, a new pattern recognition method (REPAD), developed by us for structure-activity studies of noncongeneric chemicals, has been used. This allowed us to highlight a significant difference between the whole patterns of relationships among chemicophysical variables in the two groups of active (mutagenicity and/or carcinogenic) and inactive chemicals. This approach generated a classification rule able to correctly assign about 80% of carcinogens or mutagens.
authors.affiliation: Istituto Superiore di Sanitá, Rome, Italy.
authors.forename: R
authors.initials: R
authors.lastname: Benigni
authors.forename: C
authors.initials: C
authors.lastname: Andreoli
authors.forename: A
authors.initials: A
authors.lastname: Giuliani
mesh_terms: D002273:Carcinogens; D003627:Data Interpretation, Statistical; D007256:Information Systems; D007928:Lethal Dose 50; D009153:Mutagens; D013597:Systems Analysis
chemical_list: D002273:Carcinogens; D009153:Mutagens