Literature DB >> 12924586

Quantitative structure-activity relationships for predicting percutaneous absorption rates.

John D Walker1, Rosemary Rodford, Grace Patlewicz.   

Abstract

Quantitative structure-activity relationships (QSARs) for predicting percutaneous absorption rates were reviewed. Overall progress has been hampered by the sparseness of good quality experimental data. A number of researchers have used the same data set to develop QSARs for predicting percutaneous absorption rates, a fact that makes it difficult, at this time, to recommend one or two QSARs for predicting percutaneous absorption rates. Identification of chemicals within domains of large chemical universes that should be tested to improve QSARs and the subsequent development of experimental percutaneous absorption rates for those chemicals will facilitate the development of more robust QSARs for predicting percutaneous absorption rates.

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Year:  2003        PMID: 12924586     DOI: 10.1897/01-454

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


  4 in total

1.  A Web-based Tool to Aid the Identification of Chemicals Potentially Posing a Health Risk through Percutaneous Exposure.

Authors:  Melanie Gorman Ng; Antoine Milon; David Vernez; Jérôme Lavoué
Journal:  Ann Occup Hyg       Date:  2015-12-31

2.  Evaluating Molecular Properties Involved in Transport of Small Molecules in Stratum Corneum: A Quantitative Structure-Activity Relationship for Skin Permeability.

Authors:  Chen-Peng Chen; Chan-Cheng Chen; Chia-Wen Huang; Yen-Ching Chang
Journal:  Molecules       Date:  2018-04-15       Impact factor: 4.411

3.  Odour receptors and neurons for DEET and new insect repellents.

Authors:  Pinky Kain; Sean Michael Boyle; Sana Khalid Tharadra; Tom Guda; Christine Pham; Anupama Dahanukar; Anandasankar Ray
Journal:  Nature       Date:  2013-10-02       Impact factor: 49.962

4.  Unraveling the relative importance of oral and dermal contaminant exposure in reptiles: insights from studies using the western fence lizard (Sceloporus occidentalis).

Authors:  Scott M Weir; Larry G Talent; Todd A Anderson; Christopher J Salice
Journal:  PLoS One       Date:  2014-06-18       Impact factor: 3.240

  4 in total

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