Literature DB >> 14506870

Partial least squares modelling of the acute toxicity of aliphatic compounds to Tetrahymena pyriformis.

T I Netzeva1, T W Schultz, A O Aptula, M T D Cronin.   

Abstract

The aim of this study was to evaluate a multivariate statistical model, utilising Partial Least Squares (PLS) analysis, for the prediction of the acute toxicity of aliphatic chemicals to the ciliate Tetrahymena pyriformis. A model was developed that was capable of making a prediction regardless the mechanism of toxic action. The toxicity of 476 compounds, possessing different mechanisms of toxic action was considered. A set of 74 descriptors, including the octanol-water partition coefficient, molecular-orbital descriptors, geometrical, topological and connectivity indices, was generated. A three-component, eight-descriptor PLS model was developed. It was validated by a Y-permutation test and by simulation of external prediction for complementary subsets. A comparison with existing class or mechanism-based models, derived on the same data set, was made.

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Year:  2003        PMID: 14506870     DOI: 10.1080/1062936032000101501

Source DB:  PubMed          Journal:  SAR QSAR Environ Res        ISSN: 1026-776X            Impact factor:   3.000


  4 in total

1.  Prediction of toxicity using a novel RBF neural network training methodology.

Authors:  Georgia Melagraki; Antreas Afantitis; Kalliopi Makridima; Haralambos Sarimveis; Olga Igglessi-Markopoulou
Journal:  J Mol Model       Date:  2005-11-08       Impact factor: 1.810

2.  A novel RBF neural network training methodology to predict toxicity to Vibrio fischeri.

Authors:  Georgia Melagraki; Antreas Afantitis; Haralambos Sarimveis; Olga Igglessi-Markopoulou; Alex Alexandridis
Journal:  Mol Divers       Date:  2006-06-27       Impact factor: 2.943

3.  A model of atomic compressibility and its application in QSAR domain for toxicological property prediction.

Authors:  Hiteshi Tandon; Tanmoy Chakraborty; Vandana Suhag
Journal:  J Mol Model       Date:  2019-09-06       Impact factor: 1.810

4.  From data point timelines to a well curated data set, data mining of experimental data and chemical structure data from scientific articles, problems and possible solutions.

Authors:  Villu Ruusmann; Uko Maran
Journal:  J Comput Aided Mol Des       Date:  2013-07-25       Impact factor: 3.686

  4 in total

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