Literature DB >> 1815349

Outliers: their origin and use in the classification of molecular mechanisms of toxicity.

R L Lipnick1.   

Abstract

Quantitative structure-activity relationships (QSARs) provide a useful tool for defining a mathematical relationship between chemical structure and toxicity, and for applying such statistically derived models for predicting the toxicity of untested chemicals. Outlier chemicals can be encountered both in the derivation of QSAR models as well as in their application. Information regarding the relationship between molecular descriptors and molecular mechanism of toxicity can provide insight into the origin of outlier behavior as well as guidance regarding the predictive limitations of such models. Comparison of measured toxicity data for fish and rats with baseline QSAR prediction provides a means of identifying outliers and for categorizing more specific molecular mechanisms.

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Year:  1991        PMID: 1815349     DOI: 10.1016/0048-9697(91)90175-e

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  6 in total

1.  Quantitative structure activity relationships (QSAR) for binary mixtures at non-equitoxic ratios based on toxic ratios-effects curves.

Authors:  Dayong Tian; Zhifen Lin; Daqiang Yin
Journal:  Dose Response       Date:  2012-08-30       Impact factor: 2.658

2.  Chemometric descriptors in modeling the carbonic anhydrase inhibition activity of sulfonamide and sulfamate derivatives.

Authors:  Brij Kishore Sharma; Pradeep Pilania; Kirti Sarbhai; Prithvi Singh; Yenamandra S Prabhakar
Journal:  Mol Divers       Date:  2009-08-06       Impact factor: 2.943

3.  A model of atomic compressibility and its application in QSAR domain for toxicological property prediction.

Authors:  Hiteshi Tandon; Tanmoy Chakraborty; Vandana Suhag
Journal:  J Mol Model       Date:  2019-09-06       Impact factor: 1.810

4.  Characterization of thiol-conjugated metabolites of ginger components shogaols in mouse and human urine and modulation of the glutathione levels in cancer cells by [6]-shogaol.

Authors:  Huadong Chen; Dominique N Soroka; Yuhui Hu; Xiaoxin Chen; Shengmin Sang
Journal:  Mol Nutr Food Res       Date:  2013-01-16       Impact factor: 5.914

5.  Time-dependent degradation and toxicity of diclofop-methyl in algal suspensions : emerging contaminants.

Authors:  Xiyun Cai; Jing Ye; Guangyao Sheng; Weiping Liu
Journal:  Environ Sci Pollut Res Int       Date:  2008-12-04       Impact factor: 4.223

Review 6.  Cytochromes P450 and species differences in xenobiotic metabolism and activation of carcinogen.

Authors:  D F Lewis; C Ioannides; D V Parke
Journal:  Environ Health Perspect       Date:  1998-10       Impact factor: 9.031

  6 in total

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