Search results for "Drug Design"

showing 10 items of 232 documents

Pulmonary vascular endothelium: The orchestra conductor in respiratory diseases

2018

The European Respiratory Society (ERS) Research Seminar entitled “Pulmonary vascular endothelium: orchestra conductor in respiratory diseases - highlights from basic research to therapy” brought together international experts in dysfunctional pulmonary endothelium, from basic science to translational medicine, to discuss several important aspects in acute and chronic lung diseases. This review will briefly sum up the different topics of discussion from this meeting which was held in Paris, France on October 27–28, 2016. It is important to consider that this paper does not address all aspects of endothelial dysfunction but focuses on specific themes such as: 1) the complex role of the pulmon…

Pulmonary and Respiratory MedicineDrug DesignPariEndothelium VascularCongresses as TopicPulmonary ArteryVascular RemodelingRespiratory Tract DiseaseHuman
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Pulmonary vascular endothelium: the orchestra conductor in respiratory diseases

2017

The European Respiratory Society (ERS) Research Seminar entitled “Pulmonary vascular endothelium: orchestra conductor in respiratory diseases - highlights from basic research to therapy” brought together international experts in dysfunctional pulmonary endothelium, from basic science to translational medicine, to discuss several important aspects in acute and chronic lung diseases. This review will briefly sum up the different topics of discussion from this meeting which was held in Paris, France on October 27–28, 2016. It is important to consider that this paper does not address all aspects of endothelial dysfunction but focuses on specific themes such as: 1) the complex role of the pulmon…

Pulmonary and Respiratory MedicineParismedicine.medical_specialtyEndotheliumRespiratory Tract DiseasesRespiratory SystemDysfunctional familyDiseasePulmonary ArteryVascular Remodeling030204 cardiovascular system & hematologyLung injury03 medical and health sciences0302 clinical medicinemedicineHumansEndothelial dysfunctionIntensive care medicineLungbusiness.industryTranslational medicine11 Medical And Health SciencesCongresses as Topicmedicine.diseasePulmonary hypertensionmedicine.anatomical_structure030228 respiratory systemDrug DesignEndothelium VascularbusinessEuropean Respiratory Journal
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Relaxation induced by cGMP phosphodiesterase inhibitors sildenafil and zaprinast in human vessels

2000

Abstract Background . Sildenafil is currently used in the treatment of erectile dysfunction. However, assessment of direct effects of sildenafil on coronary arteries and on arteries used as coronary grafts is unknown. This study was designed to investigate the effects of sildenafil on contracted human coronary, internal mammary, and radial arteries obtained from multiorgan donors. The observations were extended to forearm veins. Zaprinast was included in this study for comparison. Methods . Segments of left coronary, internal mammary, and radial arteries, and forearm veins were obtained from 16 multiorgan donors. Vascular rings were suspended in organ bath chambers and isometric tension was…

Pulmonary and Respiratory Medicinemedicine.medical_specialtyPurinonesPhosphodiesterase InhibitorsSildenafilMuscle Smooth VascularPiperazinesSildenafil CitrateVeinschemistry.chemical_compound3'5'-Cyclic-GMP Phosphodiesterasesmedicine.arteryInternal medicinemedicineHumansSulfonesMammary ArteriesRadial arteryVeinDose-Response Relationship Drugbusiness.industryPhosphodiesteraseCoronary VesselsPDE5 drug designrespiratory tract diseasesVasodilationCoronary arteriesmedicine.anatomical_structurechemistryPurinesAnesthesiaRadial Arterycardiovascular systemCardiologySurgerySodium nitroprussideCardiology and Cardiovascular MedicinebusinessZaprinastmedicine.drugThe Annals of Thoracic Surgery
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Discovery of γ-secretase modulators with a novel activity profile by text-based virtual screening.

2012

We present an integrated approach to identify and optimize a novel class of γ-secretase modulators (GSMs) with a unique pharmacological profile. Our strategy included (i) virtual screening through application of a recently developed protocol (PhAST), (ii) synthetic chemistry to discover structure–activity relationships, and (iii) detailed in vitro pharmacological characterization. GSMs are promising agents for treatment or prevention of Alzheimer’s disease. They modulate the γ-secretase product spectrum (i.e., amyloid-β (Aβ) peptides of different length) and induce a shift from toxic Aβ42 to shorter Aβ species such as Aβ38 with no or minimal effect on the overall rate of γ-secretase cleavag…

PyridinesPyridonesMolecular Sequence DataPeptideComputational biologyCHO CellsBiochemistryStructure-Activity RelationshipAlzheimer DiseaseCricetinaeAnimalsHumansγ secretaseAmino Acid Sequencechemistry.chemical_classificationVirtual screeningActivity profileAmyloid beta-PeptidesChemistryGeneral MedicineIntegrated approachIn vitroMinimal effectDrug DesignMolecular MedicineAmyloid Precursor Protein SecretasesACS chemical biology
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Unmet needs and challenges in gastric cancer: The way forward

2014

AbstractAlthough the incidence of gastric cancer has fallen steadily in developed countries over the past 50years, outcomes in Western countries remain poor, primarily due to the advanced stage of the disease at presentation. While earlier diagnosis would help to improve outcomes for patients with gastric cancer, better understanding of the biology of the disease is also needed, along with advances in therapy. Indeed, progress in the treatment of gastric cancer has been limited, mainly because of its genetic complexity and heterogeneity. As a result, there is an urgent need to apply precision medicine to the management of the disease in order to ensure that individuals receive the most appr…

Quality Controlmedicine.medical_specialtyDrug developmentAuditDiseasePathogenesisMalignancyUnmet needsGastrectomyStomach NeoplasmsAntineoplastic Combined Chemotherapy ProtocolsmedicineHumansRadiology Nuclear Medicine and imagingMolecular Targeted TherapyRegistriesIntensive care medicineQuality of Health CareRandomized Controlled Trials as Topicbusiness.industryIncidence (epidemiology)CancerGenomicsGeneral Medicinemedicine.diseasePrecision medicineSurgeryEuropeTreatmentOncologyRadiology Nuclear Medicine and imagingDrug DesignQuality of LifeHeterogeneitybusinessGastric cancerDelivery of Health CareDeveloped countryAlgorithms
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Dragon method for finding novel tyrosinase inhibitors: Biosilico identification and experimental in vitro assays

2006

QSAR (quantitative structure-activity relationship) studies of tyrosinase inhibitors employing Dragon descriptors and linear discriminant analysis (LDA) are presented here. A data set of 653 compounds, 245 with tyrosinase inhibitory activity and 408 having other clinical uses were used. The active data set was processed by k-means cluster analysis in order to design training and prediction series. Seven LDA-based QSAR models were obtained. The discriminant functions applied showed a globally good classification of 99.79% for the best model Class=-96.067+1.988 x 10(2)X0Av +9 1.907 BIC3 + 6.853 CIC1 in the training set. External validation processes to assess the robustness and predictive pow…

Quantitative structure–activity relationshipDatabases FactualStereochemistryTyrosinaseQuantitative Structure-Activity RelationshipComputational biologyLigandsChemometricschemistry.chemical_compoundPiperidinesDrug DiscoveryComputer SimulationPharmacologyVirtual screeningbiologyChemistryOrganic ChemistryIn vitro toxicologyComputational BiologyDiscriminant AnalysisReproducibility of ResultsGeneral MedicineLinear discriminant analysisEnzyme inhibitorDrug Designbiology.proteinPeptidesKojic acidSoftwareEuropean Journal of Medicinal Chemistry
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Molecular topology as a novel approach for drug discovery

2012

Molecular topology (MT) has emerged in recent years as a powerful approach for the in silico generation of new drugs. One key part of MT is that, in the process of drug design/discovery, there is no need for an explicit knowledge of a drug's mechanism of action unlike other drug discovery methods.In this review, the authors introduce the topic by explaining briefly the most common methodology used today in drug design/discovery and address the most important concepts of MT and the methodology followed (QSAR equations, LDA, etc.). Furthermore, the significant results achieved, from this approach, are outlined and discussed.The results outlined herein can be explained by considering that MT r…

Quantitative structure–activity relationshipDrug IndustryDrug discoveryProcess (engineering)Computer sciencebusiness.industryIn silicoQuantitative Structure-Activity RelationshipModels TheoreticalMachine learningcomputer.software_genreField (computer science)Pharmaceutical PreparationsDrug DesignDrug DiscoveryKey (cryptography)AnimalsComputer-Aided DesignHumansData miningArtificial intelligenceExplicit knowledgeMolecular topologybusinesscomputerExpert Opinion on Drug Discovery
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New hypoglycaemic agents selected by molecular topology.

2003

Abstract New compounds showing hypoglycaemic activity have been designed through a computer aided method based on quantitative structure–activity relationship (QSAR) and molecular connectivity. After calculation of topological indices for a set of 89 compounds including active and inactive with regards to hypoglycaemic action, linear discriminant analysis was performed so that a useful model to predict such an activity was achieved. Later on, the discriminant model was applied on a huge database so that fourteen compounds were selected as potential new hypoglycaemics. From them, just five were finally selected for experimental test on expected hypoglycaemic activity. Among the selected comp…

Quantitative structure–activity relationshipMolecular StructureDiscriminant modelPharmaceutical ScienceQuantitative Structure-Activity RelationshipPharmacologyLinear discriminant analysischemistry.chemical_compoundTolbutamidechemistryArabitolDrug DesignmedicinePotencyHypoglycemic AgentsMolecular topologymedicine.drugInternational journal of pharmaceutics
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Molecular modelling and QSAR in the discovery of HIV-1 integrase inhibitors

2007

The treatment regimens for the HIV-1 have mainly included reverse transcriptase or protease inhibitors but their long-term clinical utility is limited by severe side effects and viral drug resistance. A new attractive target for chemotherapeutic intervention can be the Integrase enzyme, that mediates the integration of HIV-1 DNA into a host chromosome, for which there is no known counterparts in the host cell. A number of derivatives have been found to inhibit IN in in vitro assays, but no successful drug based on them has emerged so far, although many compounds have been proposed. Moreover most of the inhibitors do not belong to a very precise structural class: this fact makes these compou…

Quantitative structure–activity relationshipProteasebiologymedicine.medical_treatmentIntegrase inhibitorDrug designGeneral MedicineComputational biologyDe novo design Docking HIV-1 integrase inhibitors Molecular dynamics Molecular modelling Pharmacophore QSARBioinformaticsIntegraseDocking (molecular)Host chromosomeDrug Discoverybiology.proteinmedicineMolecular MedicinePharmacophore
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Vanilloid Derivatives as Tyrosinase Inhibitors Driven by Virtual Screening-Based QSAR Models

2010

A number of vanilloids have been tested as tyrosinase inhibitors using Ligand-Based Virtual Screening (LBVS) driven by QSAR (Quantitative Structure-Activity Relationship) models as the multi-agent classification system. A total of 81 models were used to screen this family. Then, a preliminary cluster analysis of the selected chemicals was carried out based on their bioactivity to detect possible similar substructural features among these compounds and the active database used in the QSAR model construction. The compounds identified were tested in vitro to corroborate the results obtained in silico. Among them, two chemicals, isovanillin (K(M) (app) = 1.08 mM) near to kojic acid (reference d…

Quantitative structure–activity relationshipStereochemistryTyrosinaseIn silicoQuantitative Structure-Activity RelationshipPharmaceutical ScienceIsovanillinModels BiologicalSkin DiseasesVanilloidsAnalytical Chemistrychemistry.chemical_compoundCluster AnalysisHumansEnvironmental ChemistryComputer SimulationEnzyme InhibitorsSpectroscopyVirtual screeningMonophenol MonooxygenaseReference drugCombinatorial chemistrychemistryBenzaldehydesDrug DesignKojic acidAlgorithmsDrug Testing and Analysis
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