Abstract
We developed a new QSAR model, based on the optimal descriptors, calculated with simplified molecular input line entry system. These descriptors are correlated with mutagenic potential for a training set and correlated with this end-point for a test set. Statistical characteristics of the model are n = 28, r 2 = 0.902, q 2 = 0.892, s = 0.554, F = 240 (training set) and n = 20, r 2 = 0.853, q 2 = 0.823, s = 0.702, F = 105 (test set).
Publication types
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Research Support, Non-U.S. Gov't
MeSH terms
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Algorithms
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Internet
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Models, Molecular
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Monte Carlo Method
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Mutagens / chemistry*
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Mutagens / toxicity
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Nitrates / chemistry
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Nitro Compounds / chemistry*
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Nitro Compounds / toxicity*
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Polycyclic Aromatic Hydrocarbons / chemistry*
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Polycyclic Aromatic Hydrocarbons / toxicity*
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Quantitative Structure-Activity Relationship*
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Software
Substances
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Mutagens
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Nitrates
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Nitro Compounds
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Polycyclic Aromatic Hydrocarbons