Literature DB >> 2398815

Prediction of probability of carcinogenicity for a set of ongoing NTP bioassays.

K Enslein1, B W Blake, H H Borgstedt.   

Abstract

Forty-four compounds currently undergoing carcinogenesis bioassay by the National Toxicology Program were submitted to the TOPKAT program for prediction of their potential carcinogenicity. Sixteen compounds could not be handled by TOPKAT. Of the 28 for which predictions were made, 26 (93%) had a confidence level in the estimate of at least moderate. Seventeen were predicted to be carcinogens and 11 non-carcinogens. These results will be compared with the assay results as the assays are completed.

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Year:  1990        PMID： 2398815     DOI： 10.1093/mutage/5.4.305

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


  6 in total

1.  Prediction of rodent carcinogenicity bioassays from molecular structure using inductive logic programming.

Authors:  R D King; A Srinivasan
Journal:  Environ Health Perspect       Date:  1996-10       Impact factor: 9.031

2.  The genetic toxicity database of the National Toxicology Program: evaluation of the relationships between genetic toxicity and carcinogenicity.

Authors:  R W Tennant
Journal:  Environ Health Perspect       Date:  1991-12       Impact factor: 9.031

3.  Predicting chemical carcinogenesis in rodents.

Authors:  J T Wachsman; D W Bristol; J Spalding; M Shelby; R W Tennant
Journal:  Environ Health Perspect       Date:  1993-10       Impact factor: 9.031

4.  Data selection and treatment of chemicals tested for genotoxicity and carcinogenicity.

Authors:  N Loprieno; G Boncristiani; G Loprieno; M Tesoro
Journal:  Environ Health Perspect       Date:  1991-12       Impact factor: 9.031

Review 5.  Risk and benefit evaluation in development of pharmaceutical products.

Authors:  C S Aaron; P R Harbach; S S Mattano; J K Mayo; Y Wang; R L Yu; D M Zimmer
Journal:  Environ Health Perspect       Date:  1993-10       Impact factor: 9.031

6.  Combining structure-based pharmacophore modeling, virtual screening, and in silico ADMET analysis to discover novel tetrahydro-quinoline based pyruvate kinase isozyme M2 activators with antitumor activity.

Authors:  Can Chen; Ting Wang; Fengbo Wu; Wei Huang; Gu He; Liang Ouyang; Mingli Xiang; Cheng Peng; Qinglin Jiang
Journal:  Drug Des Devel Ther       Date:  2014-09-02       Impact factor: 4.162
  6 in total

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