Search results for "Quantitative structure"

showing 10 items of 192 documents

Kinetic and thermodynamic insights into interaction of erlotinib with epidermal growth factor receptor: Surface plasmon resonance and molecular docki…

2020

Abstract Epidermal growth factor receptor (EGFR) plays an important role in cell proliferation at non-small cell lung cancer (NSCLC). Therefore, targeted therapy of cancer via this kind of receptor is highly interested. Small molecule drugs such as erlotinib and gefitinib inhibit EGFR tyrosine kinase and thus suppress cell proliferation. At this paper, erlotinib interaction with EGFR on the cell surface was studied via surface plasmon resonance (SPR) and molecular docking methods. Kinetic parameters indicated that erlotinib affinity toward EGFR was increased through increment of temperature. The thermodynamic analysis showed that van der Waals and hydrogen binding forces play a major role i…

Cell Culture TechniquesQuantitative Structure-Activity RelationshipAntineoplastic Agents02 engineering and technologyMolecular Dynamics SimulationBiochemistry03 medical and health sciencesErlotinib HydrochlorideGefitinibStructural BiologymedicineHumansheterocyclic compoundsEpidermal growth factor receptorSurface plasmon resonanceReceptorneoplasmsMolecular BiologyProtein Kinase Inhibitors030304 developmental biology0303 health sciencesBinding SitesbiologyChemistryCell growthGeneral MedicineSurface Plasmon Resonance021001 nanoscience & nanotechnologySmall moleculerespiratory tract diseasesErbB ReceptorsMolecular Docking SimulationKineticsDocking (molecular)biology.proteinBiophysicsThermodynamicsErlotinib0210 nano-technologymedicine.drugProtein BindingInternational journal of biological macromolecules
researchProduct

Computational identification of chemical compounds with potential anti-Chagas activity using a classification tree

2021

Chagas disease is endemic to 21 Latin American countries and is a great public health problem in that region. Current chemotherapy remains unsatisfactory; consequently the need to search for new drugs persists. Here we present a new approach to identify novel compounds with potential anti-chagasic action. A large dataset of 584 compounds, obtained from the Drugs for Neglected Diseases initiative, was selected to develop the computational model. Dragon software was used to calculate the molecular descriptors and WEKA software to obtain the classification tree. The best model shows accuracy greater than 93.4% for the training set; the tree was also validated using a 10-fold cross-validation p…

Chagas diseaseComputer scienceTrypanosoma cruziAntiprotozoal AgentsQuantitative Structure-Activity RelationshipBioengineeringLigandsMachine learningcomputer.software_genre01 natural sciencesConstant false alarm rateSoftwareMolecular descriptorDrug DiscoveryChagas Diseaseclassification treeVirtual screeningMolecular Structure010405 organic chemistrybusiness.industryDecision tree learningGeneral Medicinevirtual screening0104 chemical sciences010404 medicinal & biomolecular chemistryIdentification (information)Tree (data structure)Anti-chagasic actionTest setMolecular MedicineArtificial intelligencebusinesscomputerSoftware
researchProduct

Application of molecular topology in the prediction of new compounds with anti-trypanosomal cytotoxic activity

2021

La enfermedad de Chagas es una antropozoonosis parasitaria de transmisión mayoritariamente vectorial. Si bien afecta principalmente a América, constituye una de las mayores enfermedades desatendidas a nivel mundial. Solamente dos fármacos con un alto grado de toxicidad se encuentran disponibles para su tratamiento, por lo que es preciso aunar esfuerzos en pos del desarrollo de nuevas drogas antitripanosomales eficaces y con escasos efectos adversos. En este estudio, se aplicó la topología molecular para el desarrollo de un modelo QSAR capaz de predecir la actividad citotóxica antitripanosomal de un grupo de 39 compuestos. El modelo desarrollado mediante análisis lineal discriminante permiti…

Chagas diseaseQuantitative structure–activity relationshipComputational biologyBiologyLinear discriminant analysismedicine.diseaseAntiparasiticsAntiparasitariosChagas3209 Farmacología23 QuímicamedicinePotencyMultiple linear regression analysisMolecular topologyNereis. Interdisciplinary Ibero-American Journal of Methods, Modelling and Simulation.
researchProduct

Prediction of acute toxicity of organophosphorus pesticides using topological indices

2007

Topological indices were used in the prediction of the acute toxicity (intraperitoneal and oral LD(50)) of organophosphorus pesticides on rats. Models with six variables for the prediction of LD(50)-i.p. (r = 0.849, Q(2) = 0.613) and eight variables for LD(50)-oral (r = 0.906, Q(2) = 0.701) were selected. External group and cross-validation by use of leave-n-out tests were also performed in order to assess the stability and the prediction performance of the selected topological models.

ChemistryAdministration OralQuantitative Structure-Activity RelationshipBioengineeringGeneral MedicineTopologyAcute toxicityRatsLethal Dose 50Organophosphorus CompoundsDrug DiscoveryAnimalsRegression AnalysisMolecular MedicineComputer SimulationPesticidesOrganophosphorus pesticidesInjections IntraperitonealSAR and QSAR in Environmental Research
researchProduct

Quantitative structure-retention and retention-activity relationships of beta-blocking agents by micellar liquid chromatography.

2001

Abstract Sixteen β-blocking agents (acebutolol, alprenolol, atenolol, bisoprolol, carteolol, celiprolol, esmolol, labetalol, metoprolol, nadolol, oxprenolol, pindolol, practolol, propranolol, sotalol and timolol) showing a large range of hydrophobicity (octanol–water partition coefficients, log P between −0.026 and 2.81) were subjected to micellar liquid chromatography with sodium dodecyl sulfate as micelle forming agent, and n-propanol as organic modifier. The correlation between log P and the retention factor extrapolated to a mobile phase free of micelles and organic modifier was investigated. The use of an interpolated retention factor or the retention factor for specific individual exp…

ChromatographyChemistryOrganic ChemistryAdrenergic beta-AntagonistsQuantitative Structure-Activity RelationshipGeneral MedicineBiochemistryMicelleAcebutololMicellar electrokinetic chromatographyAnalytical ChemistryPartition coefficientchemistry.chemical_compoundMicellar liquid chromatographyOxprenololmedicineAlprenololSodium dodecyl sulfateMicellescirculatory and respiratory physiologymedicine.drugChromatography LiquidJournal of chromatography. A
researchProduct

Biopartitioning micellar chromatography to pedict mutagenicity of aromatic amines

2007

[EN] Mutagenicity is a toxicity endpoint associated with the chronic exposure to chemicals. Aromatic amines have considerable industrial and environmental importance due to their widespread use in industry and their mutagenic capacity. Biopartitioning micellar chromatography (BMC), a mode of micellar liquid chromatography that uses micellar mobile phases of Brij35 in adequate experimental conditions, has demonstrated to be useful in mimicking the drug partitioning process into biological systems. In this paper, the usefulness of BMC for predicting mutagenicity of aromatic amines is demonstrated. A multiple linear regression (MLR) model based on BMC retention data is proposed and compared wi…

Chronic exposureQuantitative structure–activity relationshipPredictive capabilityQuantitative Structure-Activity RelationshipAromatic aminesHigh-performance liquid chromatographyModels BiologicalMutagenicityDrug DiscoveryQUIMICA ANALITICAOrganic chemistryComputer SimulationAminesLeast-Squares AnalysisMicellesPharmacologychemistry.chemical_classificationChromatographyChromatographyOrganic ChemistryAromatic amineGeneral MedicineBiopartitioning micellar chromatographychemistryMicellar liquid chromatographyMutagenesisQuantitative retentione-activity relationships
researchProduct

Reliability of Virtual Screening Methods in Prediction of PDE4Binhibitor Activity

2015

Identification of active ligands using computational methods is a challenging task. For example, molecular docking, pharmacophore modeling, and three dimensional quantitative structure-activity relationship models (3D-QSAR) are widely used methods to identify novel small molecules. However, all these methods have, in addition to advantages, also significant pitfalls. The aim of this study was to compare some commonly used computational methods to estimate their ability to separate highly active PDE4B-inhibitors from less active and inactive ones. Here, 152 molecules with pIC 50 -range of 3.4-10.5, originating from six original studies were used. High correlation coefficients by using dockin…

Computer scienceQuantitative Structure-Activity RelationshipMultiple methodsLigandsComputers MolecularDrug DiscoveryProtein Interaction MappingHumansSimulationPharmacological Phenomenathree-dimensional quantitative structure-activity relationshipVirtual screeningbusiness.industryta1182Pattern recognitionmolecular dockingmolecular mechanics-generalized born-surface areavirtual screeningCyclic Nucleotide Phosphodiesterases Type 4Molecular Docking SimulationDocking (molecular)pharmacophore modelingArtificial intelligencePhosphodiesterase 4 InhibitorsPharmacophorebusinessphosphodiesteraseCurrent Drug Discovery Technologies
researchProduct

Ligand-based discovery of novel trypanosomicidal drug-like compounds: In silico identification and experimental support

2010

Abstract Two-dimensional bond-based linear indices and linear discriminant analysis are used in this report to perform a quantitative structure–activity relationship study to identify new trypanosomicidal compounds. A database with 143 anti-trypanosomal and 297 compounds having other clinical uses, are utilized to develop the theoretical models. The best discriminant models computed using bond-based linear indices provides accuracies greater than 90 for both training and test sets. Our models identify as anti-trypanosomals five out of nine compounds of a set of already-synthesized substances. The in vitro anti-trypanosomal activity of this set against epimastigote forms of Trypanosoma cruzi…

Databases FactualMolecular modelCell SurvivalStereochemistryTrypanosoma cruziIn silicoNitro compoundQuantitative Structure-Activity RelationshipComputational biologyLigandsChemometricsDrug DiscoveryAnimalsHumansChagas DiseaseTrypanosoma cruziAmastigotePharmacologychemistry.chemical_classificationLife Cycle StagesbiologyOrganic ChemistryDiscriminant AnalysisBiological activityGeneral MedicineFibroblastsModels Theoreticalbiology.organism_classificationLinear discriminant analysisTrypanocidal AgentsHigh-Throughput Screening AssayschemistryAlgorithmsSoftwareEuropean Journal of Medicinal Chemistry
researchProduct

Atom- and Bond-Based 2D TOMOCOMD-CARDD Approach and Ligand-Based Virtual Screening for the Drug Discovery of New Tyrosinase Inhibitors

2008

Two-dimensional atom- and bond-based TOMOCOMD-CARDD descriptors and linear discriminant analysis (LDA) are used in this report to perform a quantitative structure-activity relationship (QSAR) study of tyrosinase-inhibitory activity. A database of inhibitors of the enzyme is collected for this study, within 246 highly dissimilar molecules presenting antityrosinase activity. In total, 7 discriminant functions are obtained by using the whole set of atom- and bond-based 2D indices. All the LDA-based QSAR models show accuracies above 90% in the training set and values of the Matthews correlation coefficient (C) varying from 0.85 to 0.90. The external validation set shows globally good classifica…

DicumarolQuantitative structure–activity relationshipStereochemistryTyrosinaseQuantitative Structure-Activity RelationshipLigandsBiochemistryAnalytical ChemistrySmall Molecule Librarieschemistry.chemical_compoundDrug DiscoveryCluster AnalysisVirtual screeningDrug discoveryChemistryComputational BiologyDiscriminant AnalysisReproducibility of ResultsMatthews correlation coefficientLigand (biochemistry)Linear discriminant analysisCombinatorial chemistryMolecular MedicinePeptidesKojic acidBiotechnologySLAS Discovery
researchProduct

Cytotoxicity of cardiotonic steroids in sensitive and multidrug-resistant leukemia cells and the link with Na(+)/K(+)-ATPase.

2015

Cardiotonic steroids have long been in clinical use for treatment of heart failure and are now emerging as promising agents in various diseases, especially cancer. Their main target is Na(+)/K(+)-ATPase, a membrane protein involved in cellular ion homeostasis. Na(+)/K(+)-ATPase has been implicated in cancer biology by affecting several cellular events and signaling pathways in both sensitive and drug-resistant cancer cells. Hence, we investigated the cytotoxic activities of 66 cardiotonic steroids and cardiotonic steroid derivatives in sensitive CCRF-CEM and multidrug-resistant CEM/ADR5000 leukemia cells. Data were then subjected to quantitative structure-activity relationship analysis (QSA…

DigoxinCell SurvivalEndocrinology Diabetes and MetabolismClinical BiochemistryPrimary Cell CultureGene ExpressionQuantitative Structure-Activity RelationshipAntineoplastic AgentsBiologyPharmacologyBiochemistryCardiac GlycosidesEndocrinologyCellular ion homeostasisCell Line TumorCytotoxic T cellHumansNa+/K+-ATPaseCytotoxicityMolecular BiologyCell BiologyMolecular biologyDrug Resistance MultipleBlotBufanolidesMolecular Docking SimulationVerapamilCell cultureDoxorubicinDrug Resistance NeoplasmCancer cellLeukocytes MononuclearMolecular MedicineSignal transductionSodium-Potassium-Exchanging ATPaseSignal TransductionThe Journal of steroid biochemistry and molecular biology
researchProduct