Literature DB >> 18023949

Structure-activity relationship analysis tools: validation and applicability in predicting carcinogens.

J Mayer1, M A Cheeseman, M L Twaroski.   

Abstract

OncoLogic and MultiCASE (MCASE) are two structure-activity relationship (SAR) analysis software programs available to screen compounds for potential carcinogenicity. Ashby-Tennant structural alerts [Ashby, J., Tennant, R.W., 1991. Definitive relationships among chemical structure, carcinogenicity, and mutagenicity for 301 chemicals tested by the US NTP. Mutat. Res. 257, 229-306] and genetic toxicity testing may also be used to assess/predict this endpoint. Six-hundred and fifty compounds tested for carcinogenicity whose results were tabulated in the Carcinogenic Potency Database (CPDB) were used to validate and compare the predictivity of OncoLogic (Version 4.1), MCASE (Version 3.1), Ashby-Tennant structural alerts, and genetic toxicity testing, individually and in combination. The sensitivity of the methods for predicting carcinogens and the specificity for predicting non-carcinogens was examined. Potent carcinogens, defined as those with TD(50) values of less than 6.25 mg/kg bw/d, were then examined separately. It is concluded that SAR analysis programs and structural alerts perform well for compounds with low human exposure levels and have the potential to supplement the results of routinely requested genetic toxicity tests in a weight-of-evidence approach in predicting carcinogenicity, although each method of analysis has limitations regarding applicability.

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Year:  2007        PMID: 18023949     DOI: 10.1016/j.yrtph.2007.09.005

Source DB:  PubMed          Journal:  Regul Toxicol Pharmacol        ISSN: 0273-2300            Impact factor:   3.271


  3 in total

1.  QSAR modelling of carcinogenicity by balance of correlations.

Authors:  A A Toropov; A P Toropova; E Benfenati; A Manganaro
Journal:  Mol Divers       Date:  2009-02-04       Impact factor: 2.943

2.  Integrating publicly available information to screen potential candidates for chemical prioritization under the Toxic Substances Control Act: A proof of concept case study using genotoxicity and carcinogenicity.

Authors:  Grace Patlewicz; Jeffry L Dean; Catherine F Gibbons; Richard S Judson; Nagalakshmi Keshava; Leora Vegosen; Todd M Martin; Prachi Pradeep; Anita Simha; Sarah H Warren; Maureen R Gwinn; David M DeMarini
Journal:  Comput Toxicol       Date:  2021-11-01

3.  In Silico Methods for Carcinogenicity Assessment.

Authors:  Azadi Golbamaki; Emilio Benfenati; Alessandra Roncaglioni
Journal:  Methods Mol Biol       Date:  2022
  3 in total

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