Search results for "relationship"

showing 10 items of 3616 documents

IKK-β inhibitors: An analysis of drug–receptor interaction by using Molecular Docking and Pharmacophore 3D-QSAR approaches

2010

Abstract The IKK kinases family represents a thrilling area of research because of its importance in regulating the activity of NF-kB transcription factors. The discovery of the central role played by IKK-β in the activation of transcription in response to apoptotic or inflammatory stimuli allowed to considerate its modulation as a promising tool for the treatment of chronic inflammation and cancer. To date, several IKK-β inhibitors have been discovered and tested. In this work, an analysis of the interactions between different classes of inhibitors and their biological target was performed, through the application of Molecular Docking and Pharmacophore/3D-QSAR approaches to a set of 141 in…

Models MolecularQuantitative structure–activity relationshipReceptors DrugMolecular Sequence DataQuantitative Structure-Activity RelationshipIκB kinaseComputational biologyPharmacologyBiologyMaterials ChemistryHumansAmino Acid SequenceNF-kBHomology modelingPhysical and Theoretical ChemistryProtein Kinase InhibitorsTranscription factorSpectroscopyIKK-betaIKK-beta inhibitors Molecular Docking Pharmacophore 3D-QSAR approachesBinding SitesPharmacophoreKinaseHomology modelingSettore CHIM/08 - Chimica FarmaceuticaComputer Graphics and Computer-Aided DesignI-kappa B KinaseMolecular DockingStructural Homology ProteinBiological targetDrug receptorPharmacophoreJournal of Molecular Graphics and Modelling
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Latest advances in molecular topology applications for drug discovery

2015

Molecular topology (MT) has emerged in recent years as a powerful approach for the in silico generation of new drugs. In the last decade, its application has become more and more popular among the leading research groups in the field of quantitative structure-activity relationships (QSAR) and drug design. This has, in turn, contributed to the rapid development of new techniques and applications of MT in QSAR studies, as well as the introduction of new topological indices.This review collates the main innovative techniques in the field of MT and provides a description of the novel topological indices recently introduced, through an exhaustive recompilation of the most significant works carri…

Models MolecularQuantitative structure–activity relationshipResearch groupsDrug discoveryQuantitative Structure-Activity RelationshipBiologyBioinformaticsData scienceDrug DesignDrug DiscoveryComputer-Aided DesignHumansComputer SimulationMolecular topologyExpert Opinion on Drug Discovery
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Non-stochastic quadratic fingerprints and LDA-based QSAR models in hit and lead generation through virtual screening: theoretical and experimental as…

2005

In order to explore the ability of non-stochastic quadratic indices to encode chemical information in antimalarials, four quantitative models for the discrimination of compounds having this property were generated and statistically compared. Accuracies of 90.2% and 83.3% for the training and test sets, respectively, were observed for the best of all the models, which included non-stochastic quadratic fingerprints weighted with Pauling electronegativities. With a comparative purpose and as a second validation experiment, an exercise of virtual screening of 65 already-reported antimalarials was carried out. Finally, 17 new compounds were classified as either active/inactive ones and experimen…

Models MolecularQuantitative structure–activity relationshipStereochemistryDrug Evaluation PreclinicalMolecular ConformationQuantitative Structure-Activity RelationshipMolecular conformationChemometricsAntimalarialsQuadratic equationHeterocyclic CompoundsDrug DiscoveryComputer SimulationPharmacologyVirtual screeningChemistryComputer aidOrganic ChemistryReproducibility of ResultsChloroquineGeneral MedicineLinear discriminant analysisDrug DesignTopological indexHeminCrystallizationBiological systemAlgorithmsEuropean Journal of Medicinal Chemistry
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On the contribution of molecular topology to drug design and discovery.

2010

Abstract The role of molecular topology (MT) in the design and selection of new drugs is discussed. After an overview of the different in silico molecular design current technologies, the QSAR analysis is dealt in detail with particular emphasis in the use of topological indices as molecular descriptors. The results of the application of MT in drug design and discovery are described and finally a possible explanation is given about some of the key reasons explaining it's the extraordinary performance.

Models MolecularQuantitative structure–activity relationshipTheoretical computer scienceComputer scienceIn silicoQuantitative Structure-Activity RelationshipGeneral MedicinePharmaceutical PreparationsMolecular descriptorDrug DesignDrug DiscoveryMolecular MedicineAnimalsComputer-Aided DesignHumansComputer SimulationMolecular topologyCurrent computer-aided drug design
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Advances in the molecular modeling and quantitative structure–activity relationship-based design for antihistamines

2013

Nowadays the use of antihistamines (AH) is increasing steadily. These drugs are able to act on a variety of pathological conditions of the organism. A number of computer-aided (in silico) approaches have been developed to discover and develop novel AH drugs. Among these methods stand the ones based on drug-receptor docking, thermodynamics, as well as the quantitative structure-activity relationships (QSAR).This review collates the most recent advances in the use of computer approaches for the search and characterization of novel AH drugs. Within the QSAR methods, particular attention will be paid to those based on molecular topology (MT) because of their demonstrated efficacy in discovering…

Models MolecularQuantitative structure–activity relationshipVirtual screeningMolecular modelDrug discoveryComputer scienceIn silicoHistamine AntagonistsQuantitative Structure-Activity RelationshipNanotechnologyComputational biologyDocking (molecular)Drug DesignExpert opinionDrug DiscoveryAnimalsComputer-Aided DesignHumansMolecular topologyExpert Opinion on Drug Discovery
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Computational Methods in Developing Quantitative Structure-Activity Relationships (QSAR): A Review

2006

Virtual filtering and screening of combinatorial libraries have recently gained attention as methods complementing the high-throughput screening and combinatorial chemistry. These chemoinformatic techniques rely heavily on quantitative structure-activity relationship (QSAR) analysis, a field with established methodology and successful history. In this review, we discuss the computational methods for building QSAR models. We start with outlining their usefulness in high-throughput screening and identifying the general scheme of a QSAR model. Following, we focus on the methodologies in constructing three main components of QSAR model, namely the methods for describing the molecular structure …

Models MolecularQuantitative structure–activity relationshipbusiness.industryComputer scienceOrganic ChemistryQuantitative Structure-Activity RelationshipQuantitative structureFeature selectionGeneral MedicineMachine learningcomputer.software_genreCombinatorial chemistryField (computer science)Computer Science ApplicationsDomain (software engineering)Molecular descriptorDrug DiscoveryArtificial intelligencebusinesscomputerApplicability domainCombinatorial Chemistry & High Throughput Screening
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Structural requirements for V2 vasopressin receptor proteolytic cleavage.

1999

The ligand-induced proteolytic cleavage of the V2 vasopressin receptor transiently expressed in COS cells was investigated. After incubation of the cell membranes with a photoreactive ligand possessing full agonistic properties for V2 receptors, approximately 90% of the porcine and bovine V2 vasopressin receptors were cleaved in the upper part of transmembrane helix 2 at a heptapeptide sequence conserved in both vasopressin and oxytocin receptors. The oxytocin receptor was completely resistant to proteolysis after binding the same photoreactive ligand, which is only a partial agonist for this receptor. Chimeric V2/oxytocin receptors obtained by transfer of extracellular domains of the oxyto…

Models MolecularReceptors VasopressinDNA ComplementaryTime FactorsProtein ConformationSwineMolecular Sequence DataBiologyLigandsTransfectionBiochemistryArginine vasopressin receptor 2Enzyme-linked receptorCyclic AMPAnimalsHumansPoint Mutation5-HT5A receptorAmino Acid SequenceCloning MolecularReceptorProtease-activated receptor 2Vasopressin receptorArginine vasopressin receptor 1BDose-Response Relationship DrugSequence Homology Amino AcidProteinsOxytocin receptorProtein Structure TertiaryEnzyme ActivationBiochemistryMicroscopy FluorescenceReceptors OxytocinType C PhospholipasesCOS CellsMutagenesis Site-DirectedCattlehormones hormone substitutes and hormone antagonistsAdenylyl CyclasesProtein BindingEuropean journal of biochemistry
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Structural Characterization of Set1 RNA Recognition Motifs and their Role in Histone H3 Lysine 4 Methylation

2006

Departament de Bioquimica iBiologia Molecular, Universitatde Valencia, C/Dr Moliner 50,46100, Burjassot, SpainThe yeast Set1 histone H3 lysine 4 (H3K4) methyltransferase contains, inaddition to its catalytic SET domain, a conserved RNA recognition motif(RRM1). We present here the crystal structure and the secondary structureassignment in solution of the Set1 RRM1. Although RRM1 has the expectedβαββαβ RRM-fold, it lacks the typical RNA-binding features of thesemodules. RRM1 is not able to bind RNA by itself in vitro, but a constructcombining RRM1 with a newly identified downstream RRM2 specificallybinds RNA. Invivo,H3K4 methylation isnot affectedbyapoint mutation inRRM2 that preserves Set1 s…

Models MolecularRiboswitchHistone H3 Lysine 4Saccharomyces cerevisiae ProteinsRNA-induced transcriptional silencingSurface Properties[SDV]Life Sciences [q-bio]Molecular Sequence DataSaccharomyces cerevisiae[SDV.BC.BC]Life Sciences [q-bio]/Cellular Biology/Subcellular Processes [q-bio.SC]BiologyMethylationHistonesStructure-Activity Relationship03 medical and health sciencesStructural BiologyHistone methylation[SDV.BC.BC] Life Sciences [q-bio]/Cellular Biology/Subcellular Processes [q-bio.SC]Amino Acid SequenceProtein Structure QuaternaryMolecular BiologyConserved Sequence030304 developmental biology0303 health sciencesRNA recognition motifLysine030302 biochemistry & molecular biologyRNARNA FungalHistone-Lysine N-MethyltransferaseNon-coding RNAMolecular biology[SDV] Life Sciences [q-bio]DNA-Binding ProteinsProtein SubunitsBiochemistryHistone methyltransferaseSequence AlignmentProtein BindingTranscription Factors
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Design and Synthesis of 4-Substituted Indolo[3,2-e][1,2,3]triazolo[1,5-a]pyrimidine Derivatives with Antitumor Activity

2008

New derivatives of the indolo[3,2- e][1,2,3]triazolo[1,5- a]pyrimidine system, substituted in the 4 position, were designed as novel antitumor agents because of their theoretical capability to form stable complexes with DNA fragments. The calculated free energies of binding were found in the range -12.76 --> -39.68 Kcal/mol. The docking studies revealed a common binding mode with the chromophore intercalated between GC base pairs, whereas the side chain lies along the minor groove. Compounds, selected on the basis of the docking studies and suitably synthesized, showed antiproliferative activity against each type of tumor cell line investigated, generally in the low micromolar range. The mo…

Models MolecularSEQUENCE SPECIFICITYMolecular modelPyrimidineStereochemistryDNA-BINDINGBIOLOGICAL INTERESTStereoisomerismAntineoplastic AgentsPyrimidinonesChemical synthesisHeterocyclic Compounds 4 or More RingsAUTOMATED DOCKINGchemistry.chemical_compoundStructure-Activity RelationshipCell Line TumorDrug DiscoveryStructure–activity relationshipHumansALGORITHMBinding siteCell ProliferationBinding SitesMolecular StructureChemistryBiological activityStereoisomerismDOMINO REACTIONDNADocking (molecular)Drug DesignNATIONAL-CANCER-INSTITUTEACTINOMYCIN-DMolecular MedicineCOMPLEXESDrug Screening Assays AntitumorTUMOR-CELL-LINES
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A new approach to inhibit human β-tryptase by protein surface binding of four-armed peptide ligands with two different sets of arms

2013

A series of six new tetravalent ligands (1-6) with two different sets of arms bind to the surface of β-tryptase, a tetrameric enzyme with an A(2)B(2) arrangement of its four monomers and two different binding sites on its protein surface (as suggested by a docking study). Besides proteinogenic amino acids also the guanidiniocarbonyl pyrrole cation (abbreviated as GCP), as an artificial arginine analog, was introduced into the arms of the ligands to investigate its influence on protein surface binding and enzyme inhibition. Furthermore, four ligands (7-10) with four identical arms also containing the GCP group were additionally synthesized to study the influence of the GCP moiety on the inhi…

Models MolecularSerine Proteinase InhibitorsArginineStereochemistrySurface PropertiesChemieLigandsBiochemistryGuanidineschemistry.chemical_compoundStructure-Activity RelationshipMoietyHumansPyrrolesAmino Acid SequencePhysical and Theoretical ChemistryBinding sitechemistry.chemical_classificationBinding SitesMolecular StructureOrganic ChemistryLigand (biochemistry)Combinatorial chemistryAmino acidEnzymeMonomerchemistryDocking (molecular)TryptasesPeptidesBiologie
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