0000000000162159

AUTHOR

R. A. Cercós-del-pozo

showing 9 related works from this author

Correlation of Pharmacological Properties of a Group of Hypolipaemic Drugs by Molecular Topology

1996

Abstract This investigation was undertaken to test the ability of the molecular connectivity model to predict the percentage of plasma protein binding, the percentage of total cholesterol reduction and oral LD50 in rats of a group of hypolipaemic drugs using multi-variable regression equations with multiple correlation coefficients, standard error of estimate, degrees of freedom, F-Snedecor function values, Mallow's CP and Student's t-test as criteria of fit. Regression analyses showed that the molecular connectivity model predicts these properties. Corresponding stability (cross validation) studies were made on the selected prediction models which confirmed their goodness of fit. The resul…

Molecular modelStereochemistryDegrees of freedom (statistics)Pharmaceutical ScienceModels BiologicalCross-validationLethal Dose 50CorrelationStructure-Activity RelationshipFenofibrateGoodness of fitAnimalsMultiple correlationFuransHypolipidemic AgentsPharmacologyChemistryBlood ProteinsRegressionRatsCholesterolProbucolStandard errorRegression AnalysisBiological systemProtein BindingJournal of Pharmacy and Pharmacology
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Calculation of chromatographic properties of barbiturates by molecular topology

1995

A study has been made of the relationship between the RF values obtained by thin layer chromatography for a group of barbiturates and the connectivity indices proposed by Kier and Hall. By using multivariable regression we obtained the corresponding connectivity functions, which were selected on the basis of their respective statistics parameters. The regression analysis of the connectivity functions shows a correct prediction of the experimental elution sequence for this group of molecules on silicagel with two mobile phases of different polarity. The corresponding random and stability studies of the different prediction models selected were carried out, demonstrating good stability and nu…

Quantitative structure–activity relationshipChromatographyChemistryPolarity (physics)ElutionMultivariable calculusOrganic ChemistryClinical BiochemistryRegression analysisStability (probability)BiochemistryAnalytical ChemistryLinear regressionRandomnessChromatographia
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New Hypolipaemic Agents Designed by Molecular Topology: Pharmacological Studies of 2,6-Di-tert-butyl-4-methylpyridine and 2,6-Di-tert-butylpyridine

1999

New compounds showing hypolipaemic activity have been designed using a computer-aided method based on molecular topology and QSAR analysis. Linear discriminant analysis and connectivity functions were used to design three potentially suitable drugs which were tested for hypolipaemic properties by the Triton WR-1339 test in rats. The pharmacological tests carried out on the newly designed compounds demonstrated the existence of notable activity in phase I for two of them. namely 2,6-Di-tert-butyl-4-methylpyridine (C.A.S. 38222-83-2) and 2,6-Di-tert-butylpyridine (C.A.S. 585-48-8), with respect to the level of total cholesterol. Both substances decrease the lipaemia to lower levels than clofi…

PharmacologyTert butylQuantitative structure–activity relationshipClofibrateChemistryStereochemistry26-Di-tert-butylpyridineReference drugchemistry.chemical_compoundTotal cholesterol4-MethylpyridinemedicineMolecular topologymedicine.drugQuantitative Structure-Activity Relationships
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QSAR Analysis of Hypoglycemic Agents Using the Topological Indices

2001

The molecular topology model and discriminant analysis have been applied to the prediction of some pharmacological properties of hypoglycemic drugs using multiple regression equations with their statistical parameters. Regression analysis showed that the molecular topology model predicts these properties. The corresponding stability (cross-validation) studies performed on the selected prediction models confirmed the goodness of the fits. The method used for hypoglycemic activity selection was a linear discriminant analysis (LDA). We make use of the pharmacological distribution diagrams (PDDs) as a visualizing technique for the identification and selection of new hypoglycemic agents, and we …

Quantitative structure–activity relationshipbusiness.industryStatistical parameterRegression analysisPattern recognitionGeneral ChemistryMachine learningcomputer.software_genreLinear discriminant analysisStability (probability)Computer Science ApplicationsComputational Theory and MathematicsLinear regressionArtificial intelligencebusinesscomputerPredictive modellingSelection (genetic algorithm)Information SystemsMathematics
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Calculation of chromatographic parameters by molecular topology: sulphamides

1994

This investigation was undertaken to test the ability of the molecular connectivity model to predict RF values in thin-layer chromatography (TLC) for a group of sulphamides using multi-variable regression equations with multiple correlation coefficients, standard error of estimate, F-Snedecor function values and Student's t-test as criteria of fit. Regression analyses showed that the molecular connectivity model predicts the values for this property in different silica gel stationary phases and different polar mobile phases. Corresponding stability and random studies were made on the selected prediction models which confirmed their goodness of fit. The results also demonstrated that differe…

ChromatographyChemistryOrganic ChemistryRegression analysisGeneral MedicineFunction (mathematics)BiochemistryStability (probability)RegressionAnalytical ChemistryStandard errorGoodness of fitPolarMultiple correlationJournal of Chromatography A
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Correlation of pharmacological properties of a group of beta-blocker agents by molecular topology.

1995

Abstract The molecular connectivity method has been applied to the study of pharmacological properties, among which are found the angor treatment dose, α-distribution half-life and intravenous LD50 in mouse, of a group of β-blocker agents, verifying its application in the prediction of theoretic values for said pharmacological properties. To do this, the obtained multiple regression functions of the corresponding connectivity indices were used in relation with the experimental values of the properties, which are accompanied by the statistical parameters used in their selection criteria, as well as the corresponding random and cross-validation studies of said functions, which corroborate the…

PharmacologyStereochemistryGroup (mathematics)Adrenergic beta-AntagonistsStatistical parameterPharmaceutical ScienceBiological activityCorrelationLethal Dose 50MiceRandom AllocationStructure-Activity RelationshipTreatment doseModels ChemicalLinear regressionInjections IntravenousAnimalsRegression AnalysisMolecular topologyBiological systemSoftwareMathematicsHalf-LifeThe Journal of pharmacy and pharmacology
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Discrimination and Molecular Design of New Theoretical Hypolipaemic Agents Using the Molecular Connectivity Functions

2000

The molecular topology model and discriminant analysis have been applied to the prediction and QSAR interpretation of some pharmacological properties of hypolipaemic drugs using multivariable regression equations with their statistical parameters. Regression analysis showed that the molecular topology model predicts these properties. The corresponding stability (cross-validation) studies done on the selected prediction models confirmed the goodness of the fits. The method used for hypolipaemic activity selection was a linear discriminant analysis (LDA). We make use of the pharmacological distribution diagrams (PDDs) as a visualizing technique for the identification and design of new hypolip…

Quantitative structure–activity relationshipComputer sciencebusiness.industryMultivariable calculusPattern recognitionGeneral ChemistryLinear discriminant analysisComputer Science ApplicationsInterpretation (model theory)Computational Theory and MathematicsArtificial intelligenceMolecular topologybusinessInformation SystemsJournal of Chemical Information and Computer Sciences
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Prediction of chromatographic parameters for some anilines by molecular connectivity

1995

The possible relation existing between RF values obtained by thin-layer chromatography for a group of anilines with connectivity indices proposed by Kier and Hall has been studied. Using multivariable regression the corresponding connectivity functions, selected for their respective correlation coefficients, standard deviations, Snedecor's F and Student's t were obtained. Regression analysis of the connectivity functions gives a correct prediction of the experimental elution sequence for this group of substances on silica gel stationary phases and various mobile phases of different polarity. The corresponding random and stability studies of the different prediction models selected were carr…

Quantitative structure–activity relationshipChromatographyElutionChemistryPolarity (physics)Multivariable calculusOrganic ChemistryClinical BiochemistryRegression analysisBiochemistryStability (probability)Standard deviationAnalytical ChemistryRandomnessChromatographia
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ChemInform Abstract: Discrimination and Molecular Design of New Theoretical Hypolipaemic Agents Using the Molecular Connectivity Functions.

2010

The molecular topology model and discriminant analysis have been applied to the prediction and QSAR interpretation of some pharmacological properties of hypolipaemic drugs using multivariable regre...

Quantitative structure–activity relationshipChemistrybusiness.industryMultivariable calculusPattern recognitionGeneral MedicineArtificial intelligenceMolecular topologybusinessLinear discriminant analysisInterpretation (model theory)ChemInform
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