Literature DB >> 8921509

Prediction of Salmonella mutagenicity.

E Zeiger1, J Ashby, G Bakale, K Enslein, G Klopman, H S Rosenkranz.   

Abstract

The ability of a number of prediction systems was examined to determine how well they could predict Salmonella mutagenicity. The prediction systems included two computer-based systems (CASE and TOPKAT), the measurement of a physiochemical parameter (ke) and the use of structural alerts by an expert chemist. The computer-based systems operators and the chemist were supplied with the structures of 100 chemicals that had been tested for mutagenicity in the Salmonella test; the actual chemicals were needed for the physiochemical measurement. None of the participants was provided with the chemical names or Salmonella test results prior to submitting their predictions. The three systems that predicted the mutagenicity from the structure of the chemicals produced equivalent results (71-76% concordance with the Salmonella results); the physiochemical system produced a lower (60-61%) concordance.

Entities:  

Mesh:

Substances:

Year:  1996        PMID: 8921509     DOI: 10.1093/mutage/11.5.471

Source DB:  PubMed          Journal:  Mutagenesis        ISSN: 0267-8357            Impact factor:   3.000


  5 in total

1.  Continuous treatment of the insensitive munitions compound N-methyl-p-nitro aniline (MNA) in an upflow anaerobic sludge blanket (UASB) bioreactor.

Authors:  Christopher I Olivares; Junqin Wang; Carlos D Silva Luna; Jim A Field; Leif Abrell; Reyes Sierra-Alvarez
Journal:  Chemosphere       Date:  2015-10-23       Impact factor: 7.086

2.  Transitioning to composite bacterial mutagenicity models in ICH M7 (Q)SAR analyses.

Authors:  Curran Landry; Marlene T Kim; Naomi L Kruhlak; Kevin P Cross; Roustem Saiakhov; Suman Chakravarti; Lidiya Stavitskaya
Journal:  Regul Toxicol Pharmacol       Date:  2019-10-03       Impact factor: 3.271

3.  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

4.  Antimicrobial and Genotoxicity Effects of Zero-valent Iron Nanoparticles.

Authors:  Elham Barzan; Sedigheh Mehrabian; Saeed Irian
Journal:  Jundishapur J Microbiol       Date:  2014-05-01       Impact factor: 0.747

Review 5.  Critical role of toxicologic pathology in a short-term screen for carcinogenicity.

Authors:  Samuel M Cohen; Lora L Arnold
Journal:  J Toxicol Pathol       Date:  2016-05-23       Impact factor: 1.628

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.