Search results for "CoV"

showing 10 items of 9749 documents

Introduction: Novel hybrid combinations containing synthetic or antibiotic drugs with plant-derived phenolic or terpenoid compounds

2017

Abstract Background There is a paradigm shift in chemotherapy from mono-drug therapy towards multidrug combination regimens. Natural products from medicinal plants may play an important role for the design of novel combination therapy protocols. Hypothesis We introduce the novel term “hybrid combination” for the therapeutic combination of chemically defined plant-derived constituents (e.g. phenolic or terpenoid compounds with synthetic or antibiotic drugs to increase pharmacological activity and simultaneously toxic side effects. Study design Several literature databases were screened on the combination of phenolic/terpenoid compounds with synthetic/antibiotic drugs. Results Phenolic compou…

0301 basic medicineCombination therapymedicine.drug_classAntibioticsHerb-Drug InteractionsPharmaceutical ScienceDrug resistancePharmacologyAntioxidants03 medical and health sciencesPhenolsNetwork pharmacologyDrug DiscoverymedicineHumansOrganic chemistryMedicinal plantsAntibiotic DrugsPharmacologyBiological ProductsPlants MedicinalPlant ExtractsTerpenesChemistryBiological activityTerpenoidAnti-Bacterial Agents030104 developmental biologyComplementary and alternative medicineMolecular MedicineDrug Therapy CombinationPhytomedicine
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Cancer combination therapy of the sesquiterpenoid artesunate and the selective EGFR-tyrosine kinase inhibitor erlotinib.

2017

Abstract Background The shift from cytotoxic to targeted chemotherapy led to improved treatment outcomes in oncology. Nevertheless, many cancer patients cannot be cured from their disease because of the development of drug resistance and side effects. Purpose There is an ongoing quest for novel compounds, which raised not only the interest in natural products but also in novel combination therapy regimens. Study design In this review, we report on the inhibition epidermal growth factor receptor (EGFR) by targeted small molecules and their combination with natural products from medicinal plants. Results The combination of erlotinib with artesunate leads to synergistic inhibition of cell grow…

0301 basic medicineCombination therapymedicine.medical_treatmentPharmaceutical ScienceArtesunateDrug resistancePharmacology03 medical and health scienceschemistry.chemical_compoundErlotinib Hydrochloride0302 clinical medicineIn vivoDrug DiscoveryAntineoplastic Combined Chemotherapy ProtocolsMedicineHumansEpidermal growth factor receptorMolecular Targeted TherapyProtein Kinase InhibitorsPharmacologyChemotherapybiologybusiness.industryCancermedicine.diseaseArtemisininsErbB Receptors030104 developmental biologyComplementary and alternative medicinechemistryArtesunate030220 oncology & carcinogenesisbiology.proteinMolecular MedicineErlotinibbusinessmedicine.drugPhytomedicine : international journal of phytotherapy and phytopharmacology
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Large-scale identification of functional microRNA targeting reveals cooperative regulation of the hemostatic system.

2018

Essentials MicroRNAs (miRNAs) regulate the molecular networks controlling biological functions such as hemostasis. We utilized novel methods to analyze miRNA-mediated regulation of the hemostatic system. 52 specific miRNA interactions with 11 key hemostatic associated genes were identified. Functionality and drugability of miRNA-19b-3p against antithrombin were demonstrated in vivo. SUMMARY: Background microRNAs (miRNAs) confer robustness to complex molecular networks regulating biological functions. However, despite the involvement of miRNAs in almost all biological processes, and the importance of the hemostatic system for a multitude of actions in and beyond blood coagulation, the role o…

0301 basic medicineComputational biologyBiologyAntithrombinsHemostatics03 medical and health sciencesMiceCell Line TumormicroRNAGene silencingAnimalsHumansGene SilencingBiomarker discoveryGene3' Untranslated RegionsHemostasisThree prime untranslated regionRNARobustness (evolution)Computational BiologyHigh-Throughput Nucleotide SequencingThrombosisHematologyMice Inbred C57BLMicroRNAs030104 developmental biologyHemostasisBiomarkersPlasmidsJournal of thrombosis and haemostasis : JTH
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Recent discoveries of anticancer flavonoids.

2017

Abstract In this review we report the recent advances in anticancer activity of the family of natural occurring flavonoids, covering the time span of the last five years. The bibliographic data will be grouped, on the basis of biological information, in two great categories: reports in which the extract plants bioactivity is reported and the identification of each flavonoid is present or not, and reports in which the anticancer activity is attributable to purified and identified flavonoids from plants. Wherever possible, the targets and mechanisms of action as well as the structure-activity relationships of the molecules will be reported. Also, in the review it was thoroughly investigated t…

0301 basic medicineComputational biologyChemoprevention03 medical and health sciencesStructure-Activity Relationship0302 clinical medicineNeoplasmsDrug DiscoveryAnimalsHumansheterocyclic compoundsBenzopyransChemoprotectionPharmacologyFlavonoidsChemistryDrug Discovery3003 Pharmaceutical SciencefungiOrganic Chemistryfood and beveragesGeneral MedicinePlantsAntineoplastic Agents Phytogenic030104 developmental biology030220 oncology & carcinogenesisFlavonoidBioactive compoundChemotherapeutic agentEuropean journal of medicinal chemistry
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All-atom simulations to studying metallodrugs/target interactions.

2021

Abstract Metallodrugs are extensively used to treat and diagnose distinct disease types. The unique physical–chemical properties of metal ions offer tantalizing opportunities to tailor effective scaffolds for selectively targeting specific biomolecules. Modern experimental techniques have collected a large body of structural data concerning the interactions of metallodrugs with their biomolecular targets, although being unable to exhaustively assess the molecular basis of their mechanism of action. In this scenario, the complementary use of accurate computational methods allows uncovering the minutiae of metallodrugs/targets interactions and their underlying mechanism of action at an atomic…

0301 basic medicineComputer scienceAntineoplastic AgentsMetallo-drug discoveryMolecular dynamicsMolecular Dynamics Simulation010402 general chemistry01 natural sciencesBiochemistryQM/MMAnalytical Chemistry03 medical and health sciencesComputational ChemistryCoordination ComplexesHumansMetallo-drugscomputer.file_format0104 chemical sciences030104 developmental biologyMetalsAtom (standard)Ruthenium drugsQuantum TheoryGold drugsBiochemical engineeringCisplatincomputerCurrent opinion in chemical biology
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Next-generation sequencing: big data meets high performance computing

2017

The progress of next-generation sequencing has a major impact on medical and genomic research. This high-throughput technology can now produce billions of short DNA or RNA fragments in excess of a few terabytes of data in a single run. This leads to massive datasets used by a wide range of applications including personalized cancer treatment and precision medicine. In addition to the hugely increased throughput, the cost of using high-throughput technologies has been dramatically decreasing. A low sequencing cost of around US$1000 per genome has now rendered large population-scale projects feasible. However, to make effective use of the produced data, the design of big data algorithms and t…

0301 basic medicineComputer scienceDistributed computingGenomic researchBig dataTerabyteComputing MethodologiesDNA sequencing03 medical and health sciences0302 clinical medicineDatabases GeneticDrug DiscoveryHumansThroughput (business)PharmacologyGenomebusiness.industryHigh-Throughput Nucleotide SequencingGenomicsSequence Analysis DNAPrecision medicineSupercomputerData scienceCancer treatment030104 developmental biology030220 oncology & carcinogenesisbusinessAlgorithmsDrug Discovery Today
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Improving Docking Performance Using Negative Image-Based Rescoring

2017

Despite the large computational costs of molecular docking, the default scoring functions are often unable to recognize the active hits from the inactive molecules in large-scale virtual screening experiments. Thus, even though a correct binding pose might be sampled during the docking, the active compound or its biologically relevant pose is not necessarily given high enough score to arouse the attention. Various rescoring and post-processing approaches have emerged for improving the docking performance. Here, it is shown that the very early enrichment (number of actives scored higher than 1% of the highest ranked decoys) can be improved on average 2.5-fold or even 8.7-fold by comparing th…

0301 basic medicineComputer scienceEnergy minimizationconsensus scoring03 medical and health sciencesmolekyylilääketiedeta318Pharmacology (medical)benchmarkingdocking rescoringOriginal ResearchPharmacologyVirtual screeningDrug discoverybusiness.industrylcsh:RM1-950Pattern recognitionmolecular dockingnegative image-based rescoring (R-NiB)030104 developmental biologylcsh:Therapeutics. PharmacologyActive compoundDocking (molecular)Target proteinArtificial intelligencebusinessFrontiers in Pharmacology
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Molecular basis of SARS-CoV-2 infection and rational design of potential antiviral agents: Modeling and simulation approaches

2020

International audience; The emergence in late 2019 of the coronavirus SARS-CoV-2 has resulted in the breakthrough of the COVID-19 pandemic that is presently affecting a growing number of countries. The development of the pandemic has also prompted an unprecedented effort of the scientific community to understand the molecular bases of the virus infection and to propose rational drug design strategies able to alleviate the serious COVID-19 morbidity. In this context, a strong synergy between the structural biophysics and molecular modeling and simulation communities has emerged, resolving at the atomistic level the crucial protein apparatus of the virus and revealing the dynamic aspects of k…

0301 basic medicineComputer sciencedrug designIn silicoPneumonia Viralmembrane fusioncoronavirusReviewsDrug designComputational biologyMolecular Dynamics SimulationViral Nonstructural Proteinsmedicine.disease_causespike proteinAntiviral AgentsMolecular Docking SimulationBiochemistry[SPI.AUTO]Engineering Sciences [physics]/AutomaticModeling and simulationBetacoronavirus03 medical and health sciencesPandemicmedicineHumansstructural biophysicsPandemicsCoronavirus030102 biochemistry & molecular biologySARS-CoV-2free-energy methodsmolecular modelingRational designCOVID-19General ChemistryVirus InternalizationSARS unique domainmolecular dynamics3. Good healthMolecular Docking Simulation030104 developmental biologyDocking (molecular)Settore CHIM/03 - Chimica Generale E InorganicaSpike Glycoprotein CoronavirusdockingproteasesCoronavirus Infections
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The Binding Mechanism of Epolactaene to Hsp60 Unveiled by in Silico Modelling

2016

Molecular Dynamics (MD) simulations and DFT/MM calculations were performed in order to rationalize available experimental results and to provide structural details on the binding mechanism of Epolactaene (EPO) to the 60 KDa Heat Shock Protein (Hsp60). The available crystal structure of Hsp60 represents the last step of the chaperone folding cycle, while the Hsp60-EPO complex was obtained by using a homology model of Hsp60, in order to simulate a state related to the beginning of the folding cycle (Rs1). The results of MD simulations point out that EPO shows the highest binding affinity for the empty ATP binding site. The presence of ATP opens a channel that allows the entrance of both EPO d…

0301 basic medicineConformational changeanimal structuresStereochemistryProteins · Molecular Dynamics · Density Functional Theory · Heat Shock Proteins · Epolactaene010402 general chemistry01 natural sciences03 medical and health sciencesMolecular dynamicschemistry.chemical_compoundHeat shock proteinHomology modelingBinding siteEpolactaenebiologyChemistrySettore BIO/16 - Anatomia UmanafungiGeneral ChemistrySettore CHIM/06 - Chimica Organica0104 chemical sciencesCrystallography030104 developmental biologyCovalent bondSettore CHIM/03 - Chimica Generale E InorganicaChaperone (protein)biology.protein
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The good and bad of targeting cancer-associated extracellular matrix

2017

The maintenance of tissue homeostasis requires extracellular matrix (ECM) remodeling. Immune cells actively participate in regenerating damaged tissues contributing to ECM deposition and shaping. Dysregulated ECM deposition characterizes fibrotic diseases and cancer stromatogenesis, where a chronic inflammatory state sustains the ECM increase. In cancer, the ECM fosters several steps of tumor progression, providing pro-survival and proliferative signals, promoting tumor cell dissemination via collagen fibers or acting as a barrier to impede drug diffusion. Interfering with processes leading to chronic ECM deposition, as occurring in cancer, might allow the simultaneous targeting of both pri…

0301 basic medicineContext (language use)BiologyExtracellular matrix03 medical and health sciencesImmune systemNeoplasmsDrug DiscoverymedicineTumor MicroenvironmentAnimalsHumansPharmacology; Drug Discovery3003 Pharmaceutical ScienceMyeloid CellsReceptorTissue homeostasisPharmacologyTumor microenvironmentDrug Discovery3003 Pharmaceutical ScienceCancermedicine.diseaseCell biologyExtracellular Matrix030104 developmental biologyTumor progressionImmunology
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