Literature DB >> 11604018

Theoretical descriptors for the correlation of aquatic toxicity of environmental pollutants by quantitative structure-toxicity relationships.

A R Katritzky1, D B Tatham, U Maran.   

Abstract

Quantitative structure-toxicity relationships were developed for the prediction of aqueous toxicities for Poecilia reticulata (guppy) using the CODESSA treatment. A two-parameter correlation was found for class 1 toxins with R(2) = 0.96, and a five-parameter correlation was found for class 2 toxins with R(2) = 0.92. A five-parameter correlation for class 3 toxins had R(2) = 0.85. The correlations for class 4 toxins were less satisfactory. All the descriptors utilized are calculated solely from the structures of the molecules, which makes it possible to predict unavailable or unknown toxins.

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Year:  2001        PMID: 11604018     DOI: 10.1021/ci010011r

Source DB:  PubMed          Journal:  J Chem Inf Comput Sci        ISSN: 0095-2338


  3 in total

1.  Prediction of the tissue/blood partition coefficients of organic compounds based on the molecular structure using least-squares support vector machines.

Authors:  H X Liu; X J Yao; R S Zhang; M C Liu; Z D Hu; B T Fan
Journal:  J Comput Aided Mol Des       Date:  2005-11-30       Impact factor: 3.686

2.  The prediction of human oral absorption for diffusion rate-limited drugs based on heuristic method and support vector machine.

Authors:  H X Liu; R J Hu; R S Zhang; X J Yao; M C Liu; Z D Hu; B T Fan
Journal:  J Comput Aided Mol Des       Date:  2005-01       Impact factor: 3.686

3.  QSPR analysis for infinite dilution activity coefficients of organic compounds.

Authors:  Kaido Tämm; Peeter Burk
Journal:  J Mol Model       Date:  2005-12-07       Impact factor: 1.810

  3 in total

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