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Optimisation of correlation weights of SMILES invariants for modelling oral quail toxicity
Andrey A Toropov1, Emilio Benfenati
1Laboratory of Environmental Chemistry and Toxicology, Istituto di Ricerche Farmacologiche Mario Negri, Via Eritrea 62, Milan, Italy. aatoropov@yahoo.com
Abstract:
The SMILES (simplified molecular input line entry system) nomenclature was used to elucidate the molecular structure in constructing the quantitative structure-property/activity relationships (QSPR/QSAR) for predicting quail toxicity after oral exposure. The presence of chemical elements in different electronic states (e.g., C, c, O, o, Cl, Br, etc.) and of different covalent bonds (i.e., -,=, and #) was used as local invariants. Combinations of different presence/absence codes for local features of the SMILES were used as global invariants. The statistical characteristics of this model are n=97, r(2)=0.755, s=0.445, F=293 (training set); n=18, r(2)=0.731, s=0.587, F=43 (test set).
