A quantitative correlation of the LC50 values of esters in pimephales promelas using physicochemical and topological parameters

In recent years much emphasis has been given to the development of easily calculated molecular descriptors that can adequately predict the pharmacological and toxic action of bioactive molecules. In this article a quantitative structure-activity relationship (QSAR) study of industrially important esters was carried out using hydrophobicity (log P, octanol-water), molecular connectivity indices (lX, lXv), Wiener number (W) and information-theoretic topological indices defined on the total molecular graph. Information-theoretic topological indices studied include information content (IC), structural information content (SIC) and complementary information content (CIC), as well as information indices derived from the distance matrix of the hydrogen-suppressed chemical graph (IWD, IWD). The topological index lXv, an electronic parameter, was found to be the single best descriptor for predicting the LC50 values of esters in Pimephales promelas. However, a multiparametric relationship including a lipophilic (log P), an electronic (lXv) and a steric (CIC) parameter resulted in the most significant correlation, suggesting multiconditionality in the mode of toxic action of these esters.

[1]  L. J. Mullins,et al.  Some Physical Mechanisms in Narcosis. , 1954 .

[2]  S C Basak,et al.  Molecular topology and narcosis. A quantitative structure-activity relationship (QSAR) study of alcohols using complementary information content (CIC). , 1983, Arzneimittel-Forschung.

[3]  C. Hansch Recent Advances in Biochemical QSAR , 1978 .

[4]  Subhash C. Basak,et al.  Molecular topology and pharmacological action: A QSAR study of tetrazoles using topological information content (IC) , 1982 .

[5]  Roth Sh Membrane and cellular actions of anesthetic agents. , 1980 .

[6]  L B Kier,et al.  Use of molecular negentropy to encode structure governing biological activity. , 1980, Journal of pharmaceutical sciences.

[7]  S C Basak,et al.  A quantitative structure-activity relationship study of N-alkylnorketobemidones and triazinones using structural information content. , 1982, Arzneimittel-Forschung.

[8]  L. Hall,et al.  Structure-toxicity relationships of selected nitrogenous heterocyclic compounds. III. Relations using molecular connectivity , 1982, Bulletin of environmental contamination and toxicology.

[9]  H. Wiener Structural determination of paraffin boiling points. , 1947, Journal of the American Chemical Society.

[10]  Gilman D. Veith,et al.  Estimating the Acute Toxicity of Narcotic Industrial Chemicals to Fathead Minnows , 1983 .

[11]  C. E. SHANNON,et al.  A mathematical theory of communication , 1948, MOCO.

[12]  S C Basak,et al.  Physicochemical and topological correlates of the enzymatic acetyltransfer reaction. , 1983, Journal of pharmaceutical sciences.

[13]  Philip H. Howard,et al.  The development of an Environmental Fate Data Base , 1982, J. Chem. Inf. Comput. Sci..

[14]  A. B. Roy,et al.  Topological information content of genetic molecules—I. , 1978 .

[15]  L B Kier,et al.  Derivation and significance of valence molecular connectivity. , 1981, Journal of pharmaceutical sciences.

[16]  N. Trinajstic,et al.  Information theory, distance matrix, and molecular branching , 1977 .

[17]  Nenad Trinajstić,et al.  Chemical graph theory: Modeling the thermodynamic properties of molecules , 1980 .

[18]  Gilman D. Veith,et al.  Measuring and Estimating the Bioconcentration Factor of Chemicals in Fish , 1979 .