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Molecular structure–biological activity relationships on the basis of quantum‐chemical calculations
45
Citations
7
References
1979
Year
Chemical AnalysisComputational ChemistryChemistryMedicinal ChemistryMolecular SimulationMolecular RecognitionComputational BiochemistryBiophysicsBiological ActivityMolecular SciencesBiochemistryQuantum‐chemical CalculationsChemometricsChemometric MethodQuantum ChemistryMolecular ChemistryPharmacologyMolecular ModelingMolecular ParametersRank Correlation AnalysisNatural SciencesMolecular PropertyRational Drug DesignMedicineDrug DiscoveryDrug Analysis
Abstract Detailed quantum‐chemical calculations by means of semiempirical all‐valence electrons methods and a generalized (multivariable) rank correlation analysis are the fundamentals of a novel strategy of search for QSAR within homologous series of compounds. The set of molecular parameters (describing the electronic and conformational properties as well as potential interactions of the drugs) is calculated theoretically. Owing to the rank correlation method, no linear model (like LFER ) for the dependence of the biological activity upon the molecular parameters is presumed. The computed correlation coefficients are valued by carefully determined levels of statistical significance. Significant correlations are used to predict unknown activities in terms of ranks relative to the basic sample.
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