Literature DB >> 11879986

Identifying the mechanism of aquatic toxicity of selected compounds by hydrophobicity and electrophilicity descriptors.

Shijin Ren1, T Wayne Schultz.   

Abstract

The most successful quantitative structure-activity relationships (QSARs) have been developed by separating toxicants by their mechanisms of action (MOAs). However, since the activity of a chemical compound on an organism is dependent upon several physical, chemical and biological factors, among which interactions may also exist, the MOA of a compound is not easily determined. In this study, the use of discriminant analysis and logistic regression in distinguishing between narcotic and reactive compounds was investigated. The discriminating variables included hydrophobicity (log(K(ow))) and electrophilicity descriptors (S(av)(N), E(HOMO), and E(LUMO)). Classification results showed that logistic regression gave a smaller total error rate compared to discriminant analysis. Since the value of the descriptors can be calculated, the classification methods can be used in predictive toxicology.

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Year:  2002        PMID: 11879986     DOI: 10.1016/s0378-4274(01)00550-1

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


  2 in total

1.  Prediction of skin sensitization with a particle swarm optimized support vector machine.

Authors:  Hua Yuan; Jianping Huang; Chenzhong Cao
Journal:  Int J Mol Sci       Date:  2009-07-17       Impact factor: 6.208

Review 2.  Sorption of hydrophobic organic compounds on natural sorbents and organoclays from aqueous and non-aqueous solutions: a mini-review.

Authors:  Francis Moyo; Roman Tandlich; Brendan S Wilhelmi; Stefan Balaz
Journal:  Int J Environ Res Public Health       Date:  2014-05-09       Impact factor: 3.390

  2 in total

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