Literature DB >> 12924585

Quantitative structure-activity relationships for predicting skin and eye irritation.

Grace Patlewicz1, Rosemary Rodford, John D Walker.   

Abstract

Recent quantitative structure-activity relationships (QSARs) for the prediction of skin and eye irritation were reviewed. The QSARs in these areas are hindered by the lack of quality in vivo data and by a lack of understanding of the mechanisms of action. Creation of appropriate data sets for experimentation would facilitate the development of robust QSARs for predicting skin and eye irritation.

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Year:  2003        PMID: 12924585     DOI: 10.1897/01-439

Source DB:  PubMed          Journal:  Environ Toxicol Chem        ISSN: 0730-7268            Impact factor:   3.742


  3 in total

1.  Predicting chemical ocular toxicity using a combinatorial QSAR approach.

Authors:  Renee Solimeo; Jun Zhang; Marlene Kim; Alexander Sedykh; Hao Zhu
Journal:  Chem Res Toxicol       Date:  2012-11-19       Impact factor: 3.739

2.  Novel computational models offer alternatives to animal testing for assessing eye irritation and corrosion potential of chemicals.

Authors:  Arthur C Silva; Joyce V V B Borba; Vinicius M Alves; Steven U S Hall; Nicholas Furnham; Nicole Kleinstreuer; Eugene Muratov; Alexander Tropsha; Carolina Horta Andrade
Journal:  Artif Intell Life Sci       Date:  2021-12-05

3.  Model for vaccine design by prediction of B-epitopes of IEDB given perturbations in peptide sequence, in vivo process, experimental techniques, and source or host organisms.

Authors:  Humberto González-Díaz; Lázaro G Pérez-Montoto; Florencio M Ubeira
Journal:  J Immunol Res       Date:  2014-01-12       Impact factor: 4.818

  3 in total

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