Literature DB >> 7863523

Quantitative structure activity relationships for skin corrosivity of organic acids, bases and phenols.

M D Barratt1.   

Abstract

Quantitative structure activity relationships (QSARs) have been derived relating skin corrosivity data of organic acids, bases and phenols to their log(octanol/water partition coefficient), molecular volume, melting point and pKa. Datasets were analysed using principal components analysis; plots of the first 2 principal components of the above parameters, which broadly model skin permeability and cytotoxicity, for each group of chemicals showed that the analysis was able to discriminate well between corrosive and non-corrosive chemicals. The derived QSARs should be useful for the prediction of the skin corrosivity potential of new or untested chemicals.

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Year:  1995        PMID: 7863523     DOI: 10.1016/0378-4274(94)03177-9

Source DB:  PubMed          Journal:  Toxicol Lett        ISSN: 0378-4274            Impact factor:   4.372


  3 in total

1.  13th meeting of the Scientific Group on Methodologies for the Safety Evaluation of Chemicals (SGOMSEC): alternative testing methodologies and conceptual issues.

Authors:  B J Blaauboer; M Balls; M Barratt; S Casati; S Coecke; M K Mohamed; J Moore; D Rall; K R Smith; R Tennant; B A Schwetz; W S Stokes; M Younes
Journal:  Environ Health Perspect       Date:  1998-04       Impact factor: 9.031

2.  Integration of QSAR and in vitro toxicology.

Authors:  M D Barratt
Journal:  Environ Health Perspect       Date:  1998-04       Impact factor: 9.031

3.  In Silico Prediction of Skin Permeability Using a Two-QSAR Approach.

Authors:  Yu-Wen Wu; Giang Huong Ta; Yi-Chieh Lung; Ching-Feng Weng; Max K Leong
Journal:  Pharmaceutics       Date:  2022-04-28       Impact factor: 6.525

  3 in total

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