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QsarDB Repository

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    Title
    Parametrization of Electrophilicity for the Prediction of the Toxicity of Aromatic Compounds [1]
    Partial Least Squares Modelling of the Acute Toxicity of Aliphatic Compounds to Tetrahymena pyriformis [1]
    Per- and Polyfluoro Toxicity (LC 50 Inhalation) Study in Rat and Mouse Using QSAR Modeling [1]
    Pesticide effect on earthworm lethality via interpretable machine learning [1]
    pH-permeability profiles for drug substances: Experimental detection, comparison with human intestinal absorption and modelling [1]
    Polar narcosis QSAR for fathead minnow acute toxicity [1]
    Population Growth Impairment of Aliphatic Alcohols to Tetrahymena [1]
    Population Growth Impairment of Sulfur-Containing Compounds to Tetrahymena pyriformis [1]
    Population Growth Kinetics of Tetrahymena pyriformis Exposed to Selected Pyridines [1]
    Predicting Intrinsic Aqueous Solubility by a Thermodynamic Cycle [1]
    Predicting logarithmic values of the subcooled liquid vapor pressure of halogenated persistent organic pollutants with QSPR: How different are chlorinated and brominated congeners? [1]
    Predicting partitioning of volatile organic compounds from air into plant cuticular matrix by quantum chemical descriptors [1]
    Predicting Skin Sensitization Potency for Michael Acceptors in the LLNA Using Quantum Mechanics Calculations [1]
    Predicting the NO3 radical tropospheric degradability of organic pollutants by theoretical molecular descriptors [1]
    Prediction of Aqueous Solubility, Vapor Pressure and Critical Micelle Concentration for Aquatic Partitioning of Perfluorinated Chemicals [1]
    Prediction of estrogenicity: validation of a classification model [1]
    Prediction of PAH mutagenicity in human cells by QSAR classification [1]
    Prediction of rodent carcinogenicity of aromatic amines: a quantitative structure-activity relationships model [1]
    Prediction of the Corneal Permeability of Drug-Like Compounds [1]
    Prediction of the self-accelerating decomposition temperature of organic peroxides using the quantitative structure–property relationship (QSPR) approach [1]