Literature DB >> 102791

A structure-carcinogenicity study of 4-nitroquinoline 1-oxides using the SIMCA method of pattern recognition.

W J Dunn, S Wold.   

Abstract

Structure-carcinogenicity data for a series of 4-nitro- and 4-hydroxyaminoquinoline 1-oxides were analyzed using the SIMCA method of pattern recognition. Using physicochemically based substituent constants to describe each compound, a principal components model was derived for the carcinogens. This model was 82% successful in predicting the carcinogenic potential of the compounds. For the 6-substituted compounds, a significant relationship between those structural parameters associated with carcinogenic potential and ability to stimulate unscheduled DNA synthesis was observed. In addition, other problems unique to the classification of carcinogens were discussed.

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Year:  1978        PMID: 102791     DOI: 10.1021/jm00208a001

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  6 in total

1.  Causal modeling in international migration research: a methodological prolegomenon.

Authors:  D G Papademetriou; G W Hopple
Journal:  Qual Quant       Date:  1982-10

2.  Distance geometry analysis of ligand binding to drug receptor sites.

Authors:  G M Donné-Op den Kelder
Journal:  J Comput Aided Mol Des       Date:  1987-10       Impact factor: 3.686

3.  Perspectives in QSAR: computer chemistry and pattern recognition.

Authors:  R M Hyde; D J Livingstone
Journal:  J Comput Aided Mol Des       Date:  1988-07       Impact factor: 3.686

Review 4.  In silico prediction of drug toxicity.

Authors:  John C Dearden
Journal:  J Comput Aided Mol Des       Date:  2003 Feb-Apr       Impact factor: 3.686

5.  Separation of botulinum-positive and -negative fish samples by means of a pattern recognition method applied to headspace gas chromatograms.

Authors:  B G Snygg; J E Andersson; C A Krall; U M Stöllman; C A Akesson
Journal:  Appl Environ Microbiol       Date:  1979-12       Impact factor: 4.792

Review 6.  Toxicity modeling and prediction with pattern recognition.

Authors:  S Wold; W J Dunn; S Hellberg
Journal:  Environ Health Perspect       Date:  1985-09       Impact factor: 9.031

  6 in total

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