Search results for "Drug activity"

showing 3 items of 3 documents

Drug Activity Characterization Using One-Class Support Vector Machines with Counterexamples

2013

The problem of detecting chemical activity in drugs from its molecular description constitutes a challenging and hard learning task. The corresponding prediction problem can be tackled either as a binary classification problem (active versus inactive compounds) or as a one class problem. The first option leads usually to better prediction results when measured over small and fixed databases while the second could potentially lead to a much better characterization of the active class which could be more important in more realistic settings. In this paper, a comparison of these two options is presented when support vector models are used as predictors.

Chemical activitybusiness.industryCharacterization (mathematics)Machine learningcomputer.software_genreClass (biology)Task (project management)Support vector machineDrug activityBinary classificationArtificial intelligencebusinesscomputerMathematicsCounterexample
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Efficiency of antidepressant drugs as monoamine reuptake inhibitors: analysis of the hydrophobicity influence using biopartitioning micellar chromato…

2004

The reuptake blockade of biogenic amines by antidepressants is related not only to their therapeutics effects, but also to their side effects and potential drug-drug interactions. As an alternative to classical quantitative structure-activity relationships studies, in this work we propose different quantitative retention-activity relationships (QRAR) models that are able to describe the monoamine reuptake inhibition by antidepressants. The retention of compounds is measured using a biopartitioning micellar chromatography (BMC) system that can simulate the same hydrophobic, electronic and steric molecular interactions as those that condition drug activity. Since all the compounds considered …

Clinical BiochemistryPharmacologyBiochemistrySensitivity and SpecificityAnalytical ChemistryReuptakeStructure-Activity RelationshipDrug DiscoveryBiogenic MonoaminesNeurotransmitter Uptake InhibitorsMolecular BiologyMicellesPharmacologyMolecular interactionsChromatographyChemistryGeneral MedicineAntidepressive AgentsMonoamine neurotransmitterDrug activityAntidepressantSpectrophotometry UltravioletMonoamine reuptake inhibitorPharmacophoreReuptake inhibitorChromatography LiquidBiomedical chromatography : BMC
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H2-antihistaminics. 20. Structure-activity relationships in H2-receptor antagonists containing a 4-pyrimidone moiety.

1984

In a series of 5,6-substituted 4- pyrimidones 1 a-v the H2-antihistaminic activity was determined (guinea-pig atrium) and lipophilicity data are given in form of Rmo -values. The influence of different substituents at position 5 or 6 of a pyrimidone moiety has been studied. Quantitative structure-activity analyses showed the importance of lipophilicity for drug activity. Additionally other physicochemical substituent-properties may play a major role.

PharmacologyStereochemistryImmunologyPharmacology toxicologyGuinea PigsHeartPyrimidinonesToxicologyLipidschemistry.chemical_compoundStructure-Activity RelationshipDrug activitychemistryHistamine H2 receptorHistamine H2 AntagonistsSolubilityLipophilicityMoietyAnimalsPharmacology (medical)PyrimidoneAgents and actions
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