0000000000037356

AUTHOR

I. Rı́os-santamarina

showing 4 related works from this author

New bronchodilators selected by molecular topology.

1998

Molecular topology has been applied to find new lead compounds with bronchodilator activity. Among the selected compounds stands out 3-(1H-tetrazol-5yl)-9H-thioxanthene-9 -one-10,10-dioxide, anthrarobin, 9-oxo-9H-thioxantene-3-carboxylic-10,10-dioxide acid, acenocoumarol and griseofulvin, with a percentage of relaxation, at 0.1 mM, of 91, 92, 85, 69, and 74%, respectively. Theophylline shows a correspondent value of 77% (Emax = 100% at 1 mM).

Malemedicine.drug_classStereochemistryAnthrarobinMuscle RelaxationClinical BiochemistryGuinea PigsPharmaceutical ScienceIn Vitro TechniquesBiochemistryMedicinal chemistrychemistry.chemical_compoundStructure-Activity RelationshipBronchodilatorDrug DiscoverymedicineAnimalsTheophyllineMolecular BiologyAcenocoumarolChemistryOrganic ChemistryDiscriminant AnalysisGriseofulvinBronchodilator AgentsTracheaMuscle relaxationBronchodilator AgentsMolecular MedicineFemaleMolecular topologymedicine.drugBioorganicmedicinal chemistry letters
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Application of molecular topology to the prediction of antifungal activity for a set of dication-substituted carbazoles, furans and benzimidazoles

2003

In this paper, the endpoint is the application of molecular topology to the search of QSAR relations into a group of dicationsubstituted carbazoles, furans and benzimidazoles, all showing antifungal activity against C. albicans. Mathematical and statistical methods such as linear regression and discriminant analysis, are used to goal. The obtained results clearly show a high efficiency of the formalism on the prediction and classification of antifungal activity. 83% of the compounds showing MIC , 10 mg/ml (active group) are correctly classified, whilst 100% overall accuracy is achieved for those compounds showing MIC . 100 mg/ml (inactive group). q 2003 Elsevier Science B.V. All rights rese…

AntifungalQuantitative structure–activity relationshipmedicine.drug_classStereochemistryChemistryCondensed Matter PhysicsLinear discriminant analysisBiochemistryDicationFormalism (philosophy of mathematics)Linear regressionmedicinePhysical and Theoretical ChemistryMolecular topologyActive groupJournal of Molecular Structure: THEOCHEM
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Prediction of properties of chiral compounds by molecular topology

1998

Abstract A common assumption in chemistry is that chiral behavior is associated with 3-D geometry. However, chiral information is related to symmetry, which allows the topological handling of chiral atoms by weighted graphs and the calculation of new descriptors that give a weight to the corresponding entry in the main diagonal of the topological matrix. In this study, it is demonstrated that, operating in this way, chiral topological indices are obtained that can differentiate the pharmacological activity between pairs of enantiomers. The 50% inhibitory concentration (IC50) values of the D2 dopamine receptor and the σ receptor for a group of 3-hydroxy phenyl piperidines are specifically pr…

inorganic chemicalsStereochemistryIn Vitro TechniquesMain diagonalStructure-Activity RelationshipMatrix (mathematics)PiperidinesComputational chemistryMaterials ChemistryAnimalsHypnotics and SedativesReceptors sigmaheterocyclic compoundsPhysical and Theoretical ChemistrySpectroscopyGroup (mathematics)Chemistryorganic chemicalsStereoisomerismComputer Graphics and Computer-Aided DesignDopamine D2 Receptor AntagonistsCharacter (mathematics)Models ChemicalDrug DesignCentral Nervous System StimulantsMolecular topologyEnantiomerSymmetry (geometry)Chirality (chemistry)Journal of Molecular Graphics and Modelling
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Search of a topological pattern to evaluate toxicity of heterogeneous compounds.

2001

Abstract Molecular connectivity has been applied to the search of mathematical models able to predict the carcinogenic and teratogenic activity of a wide group of structurally heterogeneous compounds. Through the linear discriminant analysis and the diagrams of distribution of pharmacological activity, the classification criteria that minimizes the percentage of error are established. The easiness and speed of the calculation of the descriptors used in this work make the models developed useful in data bases containing a huge number of compounds.

Mathematical modelDatabases FactualMolecular Structurebusiness.industryBioengineeringGeneral MedicineModels TheoreticalMachine learningcomputer.software_genreLinear discriminant analysisStructure-Activity RelationshipTeratogensDrug DiscoveryToxicity TestsLinear ModelsMolecular MedicineArtificial intelligencebusinessBiological systemcomputerMathematicsForecastingSAR and QSAR in environmental research
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