Search results for "homology modeling"

showing 10 items of 30 documents

A high-quality homology model for the human dopamine transporter validated for drug design purposes.

2018

The human dopamine transporter (hDAT) plays many vital functions within the central nervous system and is thus targeted by many pharmaceutical agents. Dopamine-related therapies are in current development for individuals with dopamine-related disorders including depression, Parkinson's disease, and psychostimulant addictions such as cocaine abuse. Yet, most efforts to develop new dopamine therapies are within costly structure-activity relationship studies. Through structure-based drug design techniques, the binding site of hDAT can be utilized to develop novel selective and potent dopamine therapies at reduced costs. However, no structural models of hDAT specifically validated for rational …

DrugComputer sciencemedia_common.quotation_subjectDrug designComputational biologyNortriptyline01 natural sciencesBiochemistryInhibitory Concentration 50DopamineDrug DiscoverymedicineAnimalsDrosophila ProteinsHumansHomology modelingmedia_commonDopamine transporterPharmacologyDopamine Plasma Membrane Transport ProteinsBinding Sitesbiology010405 organic chemistryAddictionOrganic Chemistry0104 chemical sciencesProtein Structure TertiaryMolecular Docking Simulation010404 medicinal & biomolecular chemistryDrug Designbiology.proteinMolecular MedicineDrosophilaCocaine abusemedicine.drugChemical biologydrug design
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Exploring the SARS-CoV-2 Proteome in the Search of Potential Inhibitors via Structure-based Pharmacophore Modeling/Docking Approach

2020

To date, SARS-CoV-2 infectious disease, named COVID-19 by the World Health Organization (WHO) in February 2020, has caused millions of infections and hundreds of thousands of deaths. Despite the scientific community efforts, there are currently no approved therapies for treating this coronavirus infection. The process of new drug development is expensive and time-consuming, so that drug repurposing may be the ideal solution to fight the pandemic. In this paper, we selected the proteins encoded by SARS-CoV-2 and using homology modeling we identified the high-quality model of proteins. A structure-based pharmacophore modeling study was performed to identify the pharmacophore features for each…

General Computer ScienceComputer scienceComputational biologylcsh:QA75.5-76.95Theoretical Computer Science03 medical and health sciences0302 clinical medicineHomology modelingMM-GBSA030304 developmental biology0303 health sciencesVirtual screeningpharmacophoreSARS-CoV-2Applied MathematicsCOVID-19computational chemistryCOVID-19 SARS-CoV-2 computational chemistry structure-based pharmacophore docking MM-GBSADrug repositioningstructure-basedDrug developmentInfectious disease (medical specialty)Docking (molecular)030220 oncology & carcinogenesisModeling and Simulationdockinglcsh:Electronic computers. Computer sciencePharmacophoreDrugBankComputation
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Distant Homology Modeling of LCAT and Its Validation through In Silico Targeting and In Vitro and In Vivo Assays

2013

LCAT (lecithin:cholesterol acyltransferase) catalyzes the transacylation of a fatty acid of lecithin to cholesterol, generating a cholesteryl ester and lysolecithin. The knowledge of LCAT atomic structure and the identification of the amino acids relevant in controlling its structure and function are expected to be very helpful to understand the enzyme catalytic mechanism, as involved in HDL cholesterol metabolism. However - after an early report in the late '90 s - no recent advance has been made about LCAT three-dimensional structure. In this paper, we propose an LCAT atomistic model, built following the most up-to-date molecular modeling approaches, and exploiting newly solved crystallog…

MaleModels MolecularProtein StructureDrug Research and DevelopmentProtein Conformationlcsh:MedicineBiologyBiochemistryCatalysisSubstrate SpecificityPhosphatidylcholine-Sterol O-AcyltransferaseMicechemistry.chemical_compoundEnzyme activatorTransacylationProtein structureDrug DiscoveryHydrolaseCatalytic triadBiochemical SimulationsMedicine and Health SciencesAnimalsHumansHomology modelingBiomacromolecule-Ligand Interactionslcsh:SciencePharmacologyBinding SitesPlasma ProteinsMultidisciplinarylcsh:RBiology and Life SciencesProteinsEnzyme structureEnzyme ActivationMolecular Docking SimulationchemistryBiochemistryMutationEnzyme StructureEnzymologyBiocatalysisCholesteryl esterlcsh:QResearch ArticleBiotechnologyPLoS ONE
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Maintenance of a Protein Structure in the Dynamic Evolution of TIMPs over 600 Million Years

2016

Deciphering the events leading to protein evolution represents a challenge, especially for protein families showing complex evolutionary history. Among them, TIMPs represent an ancient eukaryotic protein family widely distributed in the animal kingdom. They are known to control the turnover of the extracellular matrix and are considered to arise early during metazoan evolution, arguably tuning essential features of tissue and epithelial organization. To probe the structure and molecular evolution of TIMPs within metazoans, we report the mining and structural characterization of a large data set of TIMPs over approximately 600 Myr. The TIMPs repertoire was explored starting from the Cnidaria…

Models Molecular0301 basic medicineTIMPsProtein familyProtein Conformationhomology modelingSettore BIO/11 - Biologia MolecolareSequence alignmentBiologytranscriptome wide analysisConserved sequencecnidariansEvolution MolecularCnidaria03 medical and health sciences0302 clinical medicineProtein structurePhylogeneticsMolecular evolutionGeneticsAnimalsTIMPAmino Acid SequenceHomology modelingcnidarianConserved SequencePhylogenyEcology Evolution Behavior and SystematicsGeneticsmyrTissue Inhibitor of Metalloproteinases030104 developmental biologyEvolutionary biologyTIMPs; cnidarians; homology modeling; transcriptome wide analysisSequence Alignment030217 neurology & neurosurgeryResearch Article
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Cytotoxicity of Novel Sulfanilamides Towards Sensitive and Multidrugresistant Leukemia Cells

2014

Novel sulfa Schiff bases were synthesized and characterized by a reaction between aromatic sulfonamides and aromatic aldehydes or heterocyclic ketones in equimolar ratios. Their cytotoxicity was evaluated by the resazurin assay towards human sensitive CCRF-CEM and multidrug-resistant CEM/ADR5000 leukemia cells. Three of the tested compounds viz., 4-(anthracen-9-ylmethyleneamino)-N-(pyrimidin-2-yl)benzenesulfonamide (4), 4-(anthracen-9- ylmethyleneamino)benzenesulfonamide, (5) and 4-((3-phenylallylidene)amino)benzene-sulfonamide, (6) were cytotoxic (IC 50 values: 5.38-19.96 µM). CEM/ADR5000 cells were not cross-resistant to these compounds, indicating activity against otherwise drug-resistan…

Models MolecularCell SurvivalStereochemistryBiochemistrychemistry.chemical_compoundSulfanilamideCell Line TumorSulfanilamidesDrug DiscoverymedicineHumansCytotoxic T cellDoxorubicinATP Binding Cassette Transporter Subfamily B Member 1Homology modelingCytotoxicityPharmacologyLeukemiaChemistryOrganic ChemistryResazurinSulfanilamidemedicine.diseaseProtein Structure TertiaryLeukemiaDoxorubicinDrug Resistance NeoplasmMolecular MedicineVerapamilmedicine.drugCurrent Medicinal Chemistry
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A Structural Model of the Human α7 Nicotinic Receptor in an Open Conformation

2015

International audience; Nicotinic acetylcholine receptors (nAchRs) are ligand-gated ion channels that regulate chemical transmission at the neuromuscular junction. Structural information is available at low resolution from open and closed forms of an eukaryotic receptor, and at high resolution from other members of the same structural family, two prokaryotic orthologs and an eukary- otic GluCl channel. Structures of human channels however are still lacking. Homology modeling and Molecular Dynamics simulations are valuable tools to predict structures of unknown proteins, however, for the case of human nAchRs, they have been unsuccessful in providing a stable open structure so far. This is du…

Models MolecularHydrogen bondingalpha7 Nicotinic Acetylcholine ReceptorProtein ConformationMolecular Sequence DataMESH: Sequence Alignmentligand gated ion channles molecular dynamics simulation epibatidine waterlcsh:MedicineSequence alignmentMESH: Amino Acid SequenceMolecular Dynamics SimulationMESH: Models Molecular*Molecular dynamicsProtein structureSequence alignmentCationsHumansMESH: Molecular Dynamics SimulationHomology modelingAmino Acid SequenceNicotinic Receptorlcsh:ScienceBiochemical simulationsIon channelAcetylcholine receptorIonsMESH: Protein Conformation*MultidisciplinaryMESH: HumansMESH: Molecular Sequence DataChemistryMESH: Protein Multimerizationlcsh:RMESH: alpha7 Nicotinic Acetylcholine Receptor/chemistry*[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]Transmembrane proteinSimulation and modelingNicotinic agonistBiochemistryBiophysicsProtein structurelcsh:QProtein MultimerizationResearch ArticleStructural Model
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Assessing model accuracy using the homology modeling automatically software

2007

Homology modeling is a powerful technique that greatly increases the value of experimental structure determination by using the structural information of one protein to predict the structures of homologous proteins. We have previously described a method of homology modeling by satisfaction of spatial restraints (Li et al., Protein Sci 1997;6:956-970). The Homology Modeling Automatically (HOMA) web site,http://www-nmr.cabm.rutgers.edu/HOMA, is a new tool, using this method to predict 3D structure of a target protein based on the sequence alignment of the target protein to a template protein and the structure coordinates of the template. The user is presented with the resulting models, togeth…

Models MolecularProtein Conformationbusiness.industryProteinsSequence alignmentStructure validationComputational biologyProtein superfamilyMachine learningcomputer.software_genreBiochemistryHomology (biology)Structural genomicsProtein structureStructural BiologyArtificial intelligenceTarget proteinHomology modelingbusinessMolecular BiologycomputerSoftwareMathematicsProteins: Structure, Function, and Bioinformatics
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Homology models of melatonin receptors: challenges and recent advances

2013

Melatonin exerts many of its actions through the activation of two G protein-coupled receptors (GPCRs), named MT1 and MT2. So far, a number of different MT1 and MT2 receptor homology models, built either from the prototypic structure of rhodopsin or from recently solved X-ray structures of druggable GPCRs, have been proposed. These receptor models differ in the binding modes hypothesized for melatonin and melatonergic ligands, with distinct patterns of ligand-receptor interactions and putative bioactive conformations of ligands. The receptor models will be described, and they will be discussed in light of the available information from mutagenesis experiments and ligand-based pharmacophore …

Models MolecularProtein Conformationhomology modelingMolecular Sequence DataDruggabilityReviewComputational biologyLigandsBioinformaticsCatalysisInorganic Chemistrylcsh:ChemistryStructure-Activity Relationshipmelatonin receptorsAnimalsHumansAmino Acid SequenceHomology modelingmelatonin receptors; MT1; MT2; homology modeling; structure-activity relationships; docking; molecular dynamics simulationsPhysical and Theoretical ChemistryReceptorMolecular Biologylcsh:QH301-705.5SpectroscopyMelatoninG protein-coupled receptorBinding SitesSequence Homology Amino AcidbiologyReceptor Melatonin MT2Receptor Melatonin MT1MT1Organic ChemistryMT2structure-activity relationshipsGeneral Medicinemolecular dynamics simulationsComputer Science ApplicationsMelatonergiclcsh:Biology (General)lcsh:QD1-999Structural Homology ProteinDocking (molecular)RhodopsindockingMutagenesis Site-Directedbiology.proteinPharmacophore
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A3 adenosine receptor: Homology modeling and 3D-QSAR studies

2012

Adenosine receptors (AR) belong to the superfamily of G-protein-coupled receptors (GPCRs). They are divided into four subtypes (A1, A2A, A2B, and A3) [1], and can be distinguished on the basis of their distinct molecular structures, distinct tissues distribution, and selectivity for adenosine analogs [2,3]. The hA3R, the most recently identified adenosine receptor, is involved in a variety of intracellular signaling pathways and physiological functions [4]. Expression of A3R was reported to be elevated in cancerous tissues [5], and A3 antagonists have been proposed for therapeutic treatments of cancer. The recent literature availability of crystal structure of hA2A adenosine receptor (PDB c…

Models MolecularQuantitative structure–activity relationshipReceptor Adenosine A2AAdenosine A3 Receptor AntagonistsQuantitative Structure-Activity RelationshipComputational biologyBiologyPharmacologyDrug DiscoveryMolecular dynamics simulationMaterials ChemistrymedicineHumansAmino Acid SequenceHomology modelingPhysical and Theoretical ChemistryReceptorA3 INHIBITORS HOMOLOGY MODELING 3D-QSARSpectroscopyG protein-coupled receptorA3 ReceptorBinding SitesTriazinesReceptor Adenosine A3Intracellular Signaling Peptides and ProteinsTriazolesA3 ADENOSINE RECEPTORComputer Graphics and Computer-Aided DesignAdenosine receptorAdenosineSettore CHIM/08 - Chimica FarmaceuticaPharmacophoresHomology modellingPharmacophoreProtein Bindingmedicine.drug
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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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