Literature DB >> 11170242

Evaluation of the TOPKAT system for predicting the carcinogenicity of chemicals.

M J Prival1.   

Abstract

The TOPKAT computer-based system for predicting chemical carcinogens was evaluated by determining its ability to predict the carcinogenicity of chemicals tested by the National Toxicology Program. TOPKAT was not effective in identifying potential rodent carcinogens and noncarcinogens in the data set analyzed. The chemicals in the TOPKAT database of known carcinogens and noncarcinogens that the software identifies as most "similar" to unknown chemicals are illustrated using six examples. These "similar" chemicals generally bear no apparent relationship to the chemical of interest with regard to metabolism or potential mechanism of carcinogenicity. Environ. Mol. Mutagen. 37:55-69, 2001 Published 2001 Wiley-Liss, Inc.

Mesh:

Substances:

Year:  2001        PMID: 11170242     DOI: 10.1002/1098-2280(2001)37:1<55::aid-em1006>3.0.co;2-5

Source DB:  PubMed          Journal:  Environ Mol Mutagen        ISSN: 0893-6692            Impact factor:   3.216


  5 in total

1.  Computer-aided molecular design of 1H-imidazole-2,4-diamine derivatives as potential inhibitors of Plasmodium falciparum DHFR enzyme.

Authors:  Legesse Adane; Prasad V Bharatam
Journal:  J Mol Model       Date:  2010-06-05       Impact factor: 1.810

Review 2.  Use of QSARs in international decision-making frameworks to predict health effects of chemical substances.

Authors:  Mark T D Cronin; Joanna S Jaworska; John D Walker; Michael H I Comber; Christopher D Watts; Andrew P Worth
Journal:  Environ Health Perspect       Date:  2003-08       Impact factor: 9.031

3.  In-Silico Drug Toxicity and Interaction Prediction for Plant Complexes Based on Virtual Screening and Text Mining.

Authors:  Feng Zhang; Kumar Ganesan; Yan Li; Jianping Chen
Journal:  Int J Mol Sci       Date:  2022-09-02       Impact factor: 6.208

Review 4.  Integration of bioinformatics to biodegradation.

Authors:  Pankaj Kumar Arora; Hanhong Bae
Journal:  Biol Proced Online       Date:  2014-04-27       Impact factor: 3.244

5.  A Predictive Model for Toxicity Effects Assessment of Biotransformed Hepatic Drugs Using Iterative Sampling Method.

Authors:  Alaa Tharwat; Yasmine S Moemen; Aboul Ella Hassanien
Journal:  Sci Rep       Date:  2016-12-09       Impact factor: 4.379

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.