Search results for "QSAR"

showing 10 items of 48 documents

Diseño por Topología molecular y ensayos farmacológicos de nuevos inhibidores frente a WNT/β-CATENINA Y PI3K/Akt/mTOR

2015

El cáncer colorrectal y el de próstata causan una elevadísima tasa de muerte a nivel mundial. Por lo que, cualquier estrategia para detener o al menos reducir su desarrollo y progresión sería una importante contribución en la investigación actual. Por todo ello, el objetivo principal de la presente Tesis es la identificación de nuevos agentes quimiopreventivos frente al cáncer, que actúen modulando dos de las vías más implicadas en su desarrollo: PI3K/Akt/mTOR y Wnt/β-catenina. Hoy en día, existen diferentes enfoques para el descubrimiento de nuevos hits and leads, pero esta Tesis se centra en la metodología de la Topología Molecular, que ya ha demostrado su extraordinaria eficacia en este …

239001Cáncer de próstataQSARAktTopología molecularCáncer colorrectalDiseño de fármacos320990beta-catenina
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Alzheimer: A Decade of Drug Design. Why Molecular Topology can be an Extra Edge?

2017

Background The last decade was characterized by a growing awareness about the severity of dementia in the field of age-related and no age-related diseases and about the importance to invest resources in the research of new, effective treatments. Among the dementias, Alzheimer's plays a substantial role because of its extremely high incidence and fatality. Several pharmacological strategies have been tried but still now, Alzheimer keeps being an untreatable disease. In literature, the number of QSAR related drug design attempts about new treatments for Alzheimer is huge, but only few results can be considered noteworthy. Providing a detailed analysis of the actual situation and reporting the…

Models Molecular0301 basic medicineDrugQuantitative structure–activity relationshiptopologyComputer sciencemedia_common.quotation_subjectdesignQuantitative Structure-Activity RelationshipHistory 21st CenturyArticle03 medical and health sciencesAlzheimer DiseasemedicineHumansDementiaPharmacology (medical)molecularTopology (chemistry)media_commonPharmacologyQSARdrugGeneral Medicinemedicine.diseaseDatabases BibliographicPsychiatry and Mental healthIdentification (information)030104 developmental biologyNeurologyRisk analysis (engineering)Drug DesignAlzheimerNeurology (clinical)Enhanced Data Rates for GSM EvolutionHigh incidenceMolecular topologyAntipsychotic AgentsCurrent Neuropharmacology
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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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An Integrated Pharmacophore/Docking/3D-QSAR Approach to Screening a Large Library of Products in Search of Future Botulinum Neurotoxin A Inhibitors

2020

Botulinum toxins are neurotoxins produced by Clostridium botulinum. This toxin can be lethal for humans as a cause of botulism

0301 basic medicineModels MolecularBotulinum ToxinsDatabases FactualNeuromuscular transmissionQuantitative Structure-Activity RelationshipPharmacologymedicine.disease_cause01 natural sciencesType Alcsh:ChemistryModelsClostridium botulinumbotulinum neurotoxin ABotulismBotulinum Toxins Type Alcsh:QH301-705.5Spectroscopyfood and beveragesGeneral MedicineBotulinum neurotoxinComputer Science ApplicationsdockingPharmacophoreQuantitative structure–activity relationshipStatic ElectricityChemicalbotulinum neurotoxin A virtual screening docking 3D-QSAR molecular dynamicsMolecular Dynamics SimulationArticleCatalysisInorganic ChemistrySmall Molecule Libraries03 medical and health sciencesDatabasesmedicinePhysical and Theoretical ChemistryMolecular BiologyFactual3D-QSARVirtual screening010405 organic chemistrybusiness.industryfungiOrganic ChemistryMolecularHydrogen Bondingmedicine.diseasevirtual screeningmolecular dynamics0104 chemical sciences030104 developmental biologyModels Chemicallcsh:Biology (General)lcsh:QD1-999Docking (molecular)Clostridium botulinumbusinessInternational Journal of Molecular Sciences
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Fast Training of Self Organizing Maps for the Visual Exploration of Molecular Compounds

2007

Visual exploration of scientific data in life science\ud area is a growing research field due to the large amount of\ud available data. The Kohonen’s Self Organizing Map (SOM) is\ud a widely used tool for visualization of multidimensional data.\ud In this paper we present a fast learning algorithm for SOMs\ud that uses a simulated annealing method to adapt the learning\ud parameters. The algorithm has been adopted in a data analysis\ud framework for the generation of similarity maps. Such maps\ud provide an effective tool for the visual exploration of large and\ud multi-dimensional input spaces. The approach has been applied\ud to data generated during the High Throughput Screening\ud of mo…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSelf-organizing mapSimilarity (geometry)Speedupbusiness.industryComputer scienceQSAR ANALYSISProcess (computing)computer.software_genreMachine learningField (computer science)VisualizationData visualizationSimulated annealingNEURAL-NETWORKSALGORITHMArtificial intelligenceData miningbusinesscomputer2007 International Joint Conference on Neural Networks
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DNA minor groove binders: an overview on molecular modeling and QSAR approaches

2007

Molecular recognition of DNA by small molecules and proteins is a fundamental problem in structural biology and drug design. Understanding of recognition in both sequence-selective and sequence neutral ways at the level of successful prediction of binding modes and site selectivity will be instrumental for improvements in the design and synthesis of new molecules as potent and selective gene-regulatory drugs. Minor groove is the target of a large number of non-covalent binding agents. DNA binding with specific sequences, mostly AT, takes place by means of a combination of directed hydrogen bonding to base pair edges, van der Waals interactions with the minor groove walls and generalized ele…

Models MolecularPharmacologyDNA minor groove binders (mGBs) in silico techniques molecular modeling ab initio methods docking molecular dynamics simulations (MDS) QSAR QSPR.Molecular modelBase pairStereochemistryChemistryIn silicoOrganic ChemistryQuantitative Structure-Activity RelationshipDNAComputational biologyBiochemistrySmall moleculechemistry.chemical_compoundMolecular recognitionPharmaceutical PreparationsStructural biologyDocking (molecular)Drug DesignDrug DiscoveryNucleic Acid ConformationMolecular MedicineDNA
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Ligand binding study revealing a human olfactory receptor involved in waxy-floral odor perception

2006

International audience

HUMAN OLFACTORY PERCEPTION[CHIM.OTHE] Chemical Sciences/OtherOLFACTORY CODINGODORANT RECEPTION[CHIM.OTHE]Chemical Sciences/OtherCALCIUM IMAGINGComputingMilieux_MISCELLANEOUS3D-QSAR
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How Molecular Topology Can Help in Amyotrophic Lateral Sclerosis (ALS) Drug Development: A Revolutionary Paradigm for a Merciless Disease

2022

r Abstract: Even if amyotrophic lateral sclerosis is still considered an orphan disease to date, its prevalence among the population is growing fast. Despite the efforts made by researchers and pharmaceutical companies, the cryptic information related to the biological and physiological onset mechanisms, as well as the complexity in identifying specific pharmacological targets, make it almost impossible to find effective treatments. Furthermore, because of complex ethical and economic aspects, it is usually hard to find all the necessary resources when searching for drugs for new orphan diseases. In this context, computational methods, based either on receptors or ligands, share the capabil…

amyotrophic lateral sclerosisamyotrophic lateral sclerosis; orphan diseases; molecular topology; drug design; QSAR; drug repurposingdrug repurposingdrug designQSARRPharmaceutical ScienceArticlemolecular topologyRS1-441orphan diseasesPharmacy and materia medicaDrug DiscoveryMolecular MedicineMedicinePharmaceuticals; Volume 15; Issue 1; Pages: 94
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Investigation on Quantitative Structure-Activity Relationships of 1,3,4-Oxadiazole Derivatives as Potential Telomerase Inhibitors.

2020

Background:Telomerase, a reverse transcriptase, maintains telomere and chromosomes integrity of dividing cells, while it is inactivated in most somatic cells. In tumor cells, telomerase is highly activated, and works in order to maintain the length of telomeres causing immortality, hence it could be considered as a potential marker to tumorigenesis.A series of 1,3,4-oxadiazole derivatives showed significant broad-spectrum anticancer activity against different cell lines, and demonstrated telomerase inhibition.Methods:This series of 24 N-benzylidene-2-((5-(pyridine-4-yl)-1,3,4-oxadiazol-2yl)thio)acetohydrazide derivatives as telomerase inhibitors has been considered to carry out QSAR studies…

0301 basic medicineModels MolecularTelomeraseQuantitative structure–activity relationship2D descriptorsDatasets as TopicQuantitative Structure-Activity RelationshipAntineoplastic Agents010402 general chemistry01 natural sciencesModels BiologicalAnticancer activityMLR03 medical and health sciencesInhibitory Concentration 50Drug DiscoveryLeast-Squares AnalysisTelomerase134-oxadiazolesOxadiazolesMolecular StructureDrug discoveryChemistryQSARQuantitative structureCombinatorial chemistry0104 chemical sciencesTelomerase inhibitors030104 developmental biology1 3 4 oxadiazole derivativesDrug Screening Assays AntitumorCurrent drug discovery technologies
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Identification of estrogen receptor α ligands with virtual screening techniques.

2016

Utilization of computer-aided molecular discovery methods in virtual screening (VS) is a cost-effective approach to identify novel bioactive small molecules. Unfortunately, no universal VS strategy can guarantee high hit rates for all biological targets, but each target requires distinct, fine-tuned solutions. Here, we have studied in retrospective manner the effectiveness and usefulness of common pharmacophore hypothesis, molecular docking and negative image-based screening as potential VS tools for a widely applied drug discovery target, estrogen receptor α (ERα). The comparison of the methods helps to demonstrate the differences in their ability to identify active molecules. For example,…

0301 basic medicineModels MolecularQuantitative structure–activity relationshipMolecular ConformationQuantitative Structure-Activity RelationshipComputational biologyMolecular Dynamics Simulationta3111BioinformaticsLigands01 natural sciencesMolecular Docking SimulationSmall Molecule Libraries03 medical and health sciencesestrogen receptor alphaDrug DiscoveryMaterials ChemistryHumansComputer SimulationPhysical and Theoretical ChemistrySpectroscopy3D-QSARVirtual screeningDrug discoveryChemistryta1182Estrogen Receptor alphaSmall Molecule LibrariesReproducibility of Resultsmolecular dockingvirtual screeningComputer Graphics and Computer-Aided DesignSmall molecule0104 chemical sciencesMolecular Docking Simulation010404 medicinal & biomolecular chemistry030104 developmental biologyArea Under Curvepharmacophore modelingligand discoverynegative imagePharmacophoreEstrogen receptor alphaJournal of molecular graphicsmodelling
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