CORAL: Quantitative structure-activity relationship models for estimating toxicity of organic compounds in rats

A. P. Toropova, A. A. Toropov, E. Benfenati, G. Gini, D. Leszczynska, J. Leszczynski

Research output: Contribution to journalArticle

Abstract

For six random splits, one-variable models of rat toxicity (minus decimal logarithm of the 50% lethal dose [pLD50], oral exposure) have been calculated with CORAL software (). The total number of considered compounds is 689. New additional global attributes of the simplified molecular input line entry system (SMILES) have been examined for improvement of the optimal SMILES-based descriptors. These global SMILES attributes are representing the presence of some chemical elements and different kinds of chemical bonds (double, triple, and stereochemical). The "classic" scheme of building up quantitative structure-property/activity relationships and the balance of correlations (BC) with the ideal slopes were compared. For all six random splits, best prediction takes place if the aforementioned BC along with the global SMILES attributes are included in the modeling process. The average statistical characteristics for the external test set are the following: n = 119 ± 6.4, R 2 = 0.7371 ± 0.013, and root mean square error = 0.360 ± 0.037.

Original languageEnglish
Pages (from-to)2727-2733
Number of pages7
JournalJournal of Computational Chemistry
Volume32
Issue number12
DOIs
Publication statusPublished - Sep 2011

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Keywords

  • balance of correlations
  • oral rat toxicity
  • QSAR
  • SMILES

ASJC Scopus subject areas

  • Chemistry(all)
  • Computational Mathematics

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