Search results for "DRUG REPOSITIONING"

showing 10 items of 26 documents

Repurposing a Library of Human Cathepsin L Ligands: Identification of Macrocyclic Lactams as Potent Rhodesain and Trypanosoma brucei Inhibitors.

2018

Rhodesain (RD) is a parasitic, human cathepsin L (hCatL) like cysteine protease produced by Trypanosoma brucei (T. b.) species and a potential drug target for the treatment of human African trypanosomiasis (HAT). A library of hCatL inhibitors was screened, and macrocyclic lactams were identified as potent RD inhibitors (Ki < 10 nM), preventing the cell-growth of Trypanosoma brucei rhodesiense (IC50 < 400 nM). SARs addressing the S2 and S3 pockets of RD were established. Three cocrystal structures with RD revealed a noncovalent binding mode of this ligand class due to oxidation of the catalytic Cys25 to a sulfenic acid (Cys–SOH) during crystallization. The P-glycoprotein efflux ratio was mea…

0301 basic medicineMaleTrypanosoma brucei rhodesienseSwineCathepsin LLactams MacrocyclicTrypanosoma bruceiCysteine Proteinase InhibitorsLigands01 natural sciencesCell LineCathepsin L03 medical and health sciencesStructure-Activity RelationshipIn vivoparasitic diseasesDrug DiscoveryHydrolaseAnimalsHumansIC50Binding SitesbiologyMolecular Structure010405 organic chemistryChemistryDrug RepositioningTrypanosoma brucei rhodesiensebiology.organism_classificationCysteine proteaseMolecular biologyTrypanocidal Agents0104 chemical sciencesRatsMice Inbred C57BLCysteine Endopeptidases030104 developmental biologyBlood-Brain Barrierbiology.proteinMolecular MedicineEffluxJournal of medicinal chemistry
researchProduct

Transcription factor NRF2 as a therapeutic target for chronic diseases: a systems medicine approach

2018

Systems medicine has a mechanism-based rather than a symptom- or organ-based approach to disease and identifies therapeutic targets in a nonhypothesis-driven manner. In this work, we apply this to transcription factor nuclear factor (erythroid-derived 2)-like 2 (NRF2) by cross-validating its position in a protein-protein interaction network (the NRF2 interactome) functionally linked to cytoprotection in low-grade stress, chronic inflammation, metabolic alterations, and reactive oxygen species formation. Multiscale network analysis of these molecular profiles suggests alterations of NRF2 expression and activity as a common mechanism in a subnetwork of diseases (the NRF2 diseasome). This netw…

0301 basic medicineRMSystems AnalysisNF-E2-Related Factor 2MedicinaNF-KAPPA-BAnti-Inflammatory AgentsTYPE-2 DIABETES-MELLITUSGENE PROMOTER POLYMORPHISMDiseaseComputational biologyInteractomeenvironment and public healthGLYCOGEN-SYNTHASE KINASETUMOR-SUPPRESSOR PTENNRF203 medical and health sciencesDrug DiscoveryAnimalsHumansTherapeutic targetsMedicineMolecular Targeted TherapyBardoxolone methylPLACEBO-CONTROLLED PHASE-3PharmacologyMechanism (biology)Drug discoverybusiness.industryDrug RepositioningRChronic inflammationrespiratory systemHEME OXYGENASE 1PROTEIN-PROTEIN INTERACTION3. Good healthSystems medicineDrug repositioning030104 developmental biologyDrug developmentEXPERIMENTAL AUTOIMMUNE ENCEPHALOMYELITISChronic DiseaseSystems medicineMolecular MedicineFUMARIC-ACID ESTERSbusiness
researchProduct

Identification of novel compounds against three targets of SARS CoV-2 coronavirus by combined virtual screening and supervised machine learning.

2021

Coronavirus disease 2019 (COVID-19) is a major threat worldwide due to its fast spreading. As yet, there are no established drugs available. Speeding up drug discovery is urgently required. We applied a workflow of combined in silico methods (virtual drug screening, molecular docking and supervised machine learning algorithms) to identify novel drug candidates against COVID-19. We constructed chemical libraries consisting of FDA-approved drugs for drug repositioning and of natural compound datasets from literature mining and the ZINC database to select compounds interacting with SARS-CoV-2 target proteins (spike protein, nucleocapsid protein, and 2′-o-ribose methyltransferase). Supported by…

0301 basic medicineSimeprevirArtificial intelligencevirusesMERS Middle East Respiratory SyndromeHealth InformaticsBiologyMachine learningcomputer.software_genremedicine.disease_causeAntiviral AgentsArticleWHO World Health OrganizationAUC area under the curve03 medical and health sciences0302 clinical medicinessRNA single-stranded RNA virusmedicineChemotherapyHumansSARS severe acute respiratory syndromeCOVID-19 coronavirus disease 2019CoronavirusNatural productsVirtual screeningACE2 angiotensin converting enzyme 2Drug discoverybusiness.industrySARS-CoV-2COVID-19LBE lowest binding energyFDA Food and Drug AdministrationROC receiver operating characteristicComputer Science ApplicationsHIV human immunodeficiency virusMolecular Docking SimulationDrug repositioning030104 developmental biologyDrug developmentSevere acute respiratory syndrome-related coronavirusParitaprevirInfectious diseasesRespiratory virusArtificial intelligenceSupervised Machine Learningbusinesscomputer030217 neurology & neurosurgeryComputers in biology and medicine
researchProduct

Repurposing old drugs to fight multidrug resistant cancers.

2020

Overcoming multidrug resistance represents a major challenge for cancer treatment. In the search for new chemotherapeutics to treat malignant diseases, drug repurposing gained a tremendous interest during the past years. Repositioning candidates have often emerged through several stages of clinical drug development, and may even be marketed, thus attracting the attention and interest of pharmaceutical companies as well as regulatory agencies. Typically, drug repositioning has been serendipitous, using undesired side effects of small molecule drugs to exploit new disease indications. As bioinformatics gain increasing popularity as an integral component of drug discovery, more rational approa…

0301 basic medicineVirtual screeningCancer ResearchDrug repurposingSettore BIO/11 - Biologia MolecolareAntineoplastic AgentsDrug resistanceBioinformatics03 medical and health sciencesClinical cancer trials; Drug repurposing; Multidrug resistant cancer; Pharmacophore modelling; Virtual screening0302 clinical medicineNeoplasmsDrug DiscoveryMedicineHumansPharmacology (medical)Computer SimulationRepurposingPharmacologyVirtual screeningDrug discoverybusiness.industryDrug RepositioningComputational BiologyDrug Resistance Multiple3. Good healthMultiple drug resistanceDrug repositioning030104 developmental biologyInfectious DiseasesOncologyDrug developmentDrug Resistance Neoplasm030220 oncology & carcinogenesisMultidrug resistant cancerPharmacophore modellingPharmacophorebusinessClinical cancer trialsDrug resistance updates : reviews and commentaries in antimicrobial and anticancer chemotherapy
researchProduct

Novel activities of safe-in-human broad-spectrum antiviral agents

2018

According to the WHO, there is an urgent need for better control of viral diseases. Re-positioning existing safe-in-human antiviral agents from one viral disease to another could play a pivotal role in this process. Here, we reviewed all approved, investigational and experimental antiviral agents, which are safe in man, and identified 59 compounds that target at least three viral diseases. We tested 55 of these compounds against eight different RNA and DNA viruses. We found novel activities for dalbavancin against echovirus 1, ezetimibe against human immunodeficiency virus 1 and Zika virus, as well as azacitidine, cyclosporine, minocycline, oritavancin and ritonavir against Rift valley feve…

0301 basic medicineviruksetviruses030106 microbiologyAPPROVED DRUGSHEPATITIS-C VIRUSINFLUENZA-A VIRUSBioinformaticsAntiviral AgentsArticle03 medical and health sciencesBroad spectrumVirologyHumansRNA VirusesvirusesCELL-CULTUREPharmacologyZIKA VIRUS-INFECTIONviral diseasesECHOVIRUS 1ta1183DNA VirusesDrug Repositioningta1182MOUSE MODELLIVER-TRANSPLANTATION3. Good healthDrug repositioning030104 developmental biology317 PharmacyVirus DiseasesvirustauditENTRY3111 BiomedicineViral diseaseINHIBITORSAntiviral Research
researchProduct

Identification of Novel Anthracycline Resistance Genes and Their Inhibitors

2021

Differentially expressed genes have been previously identified by us in multidrug-resistant tumor cells mainly resistant to doxorubicin. In the present study, we exemplarily focused on some of these genes to investigate their causative relationship with drug resistance. HMOX1, NEIL2, and PRKCA were overexpressed by lentiviral-plasmid-based transfection of HEK293 cells. An in silico drug repurposing approach was applied using virtual screening and molecular docking of FDA-approved drugs to identify inhibitors of these new drug-resistant genes. Overexpression of the selected genes conferred resistance to doxorubicin and daunorubicin but not to vincristine, docetaxel, and cisplatin, indicating…

BexaroteneVirtual screeningdrug resistanceChemistryDaunorubicinRPharmaceutical ScienceATP-binding cassette transporterRNA sequencingDrug resistanceTransfectionchemotherapyArticleRS1-441Drug repositioningPharmacy and materia medicatransfectionDrug DiscoveryCancer researchmedicineMolecular MedicinecancerMedicineDoxorubicinmedicine.drugPharmaceuticals
researchProduct

Multivariate analysis in the identification of biological targets for designed molecular structures: The BIOTA protocol

2013

In this work the new protocol BIOlogical Target Assignation (BIOTA) for the prediction of the biological target from molecular structures is proposed. BIOTA is based on the Principal Components Analysis (PCA) application on a matrix of ligands versus molecular descriptors. The application of BIOTA could allow to hypothesize the mechanism of action of a candidate drug prior to its biological evaluation or to repurpose old drugs. The protocol can be fine-tuned by choosing opportune targets (biological or not) and molecular descriptors, and it can be useful in every fields in with it is possible to collect set of compounds with known properties. The robustness of the protocol depends from diff…

CorrectnessComputational biologyBiologyBioinformaticsMolecular descriptorDrug DiscoveryHumansHSP90 Heat-Shock ProteinsMolecular Targeted TherapyPharmacologyPrincipal Component AnalysisBiological dataintegumentary systemBIOTA protocol Biological target Inhibitors PCA Drugs repurposingfungiOrganic ChemistryDrug RepositioningRobustness (evolution)BiotaGeneral MedicineSettore CHIM/08 - Chimica FarmaceuticaBiological targetSettore CHIM/03 - Chimica Generale E InorganicaMultivariate AnalysisPrincipal component analysisIdentification (biology)
researchProduct

The In Silico Fischer Lock-and-Key Model: The Combined Use of Molecular Descriptors and Docking Poses for the Repurposing of Old Drugs

2019

Not always lead compound and/or derivatives are suitable for the specific biological target for which they are designed but, in some cases, discarded compounds proved to be good binders for other biological targets; therefore, drug repurposing constitute a valid alternative to avoid waste of human and financial resources. Our virtual lock-and-key methods, VLKA and Conf-VLKA, furnish a strong support to predict the efficacy of a designed drug a priori its biological evaluation, or the correct biological target for a set of the selected compounds, allowing thus the repurposing of known and unknown, active and inactive compounds.

DrugComputer scienceIn silicomedia_common.quotation_subjectCombined useDrug repurposingComputational biology01 natural sciences03 medical and health scienceschemistry.chemical_compoundMolecular descriptorRepurposing030304 developmental biologymedia_common0303 health sciencesStatisticsDescriptorLock-and-key model0104 chemical sciences010404 medicinal & biomolecular chemistryDrug repositioningchemistryDocking (molecular)Biological targetMolecular dockingLead compound
researchProduct

Identification of chemosensitizers by drug repurposing to enhance the efficacy of cancer therapy

2020

Abstract The progressively rising drug resistance has driven the development of chemosensitizers, which aim to enhance the current chemotherapeutic efficacy through either quantitatively increasing intracellular drug concentration by inhibiting drug efflux, vesicle sequestration, and metabolic inactivation or qualitatively exerting concomitant effects on cellular regulation to promote apoptosis. Given the high failure rates and costs during standard drug development, drug repurposing represents an effective and economic approach for chemosensitizer identification. By applying drug repurposing, a wide range of existing clinic drugs including anticardiovascular agents, immunosuppressants, ant…

Drugbusiness.industrymedia_common.quotation_subjectCellular RegulationCancer therapyChemosensitizerDrug resistancePharmacologyDrug repositioningDrug concentrationDrug developmentMedicinebusinessmedia_common
researchProduct

Disparity between Inter-Patient Molecular Heterogeneity and Repertoires of Target Drugs Used for Different Types of Cancer in Clinical Oncology

2020

Inter-patient molecular heterogeneity is the major declared driver of an expanding variety of anticancer drugs and personalizing their prescriptions. Here, we compared interpatient molecular heterogeneities of tumors and repertoires of drugs or their molecular targets currently in use in clinical oncology. We estimated molecular heterogeneity using genomic (whole exome sequencing) and transcriptomic (RNA sequencing) data for 4890 tumors taken from The Cancer Genome Atlas database. For thirteen major cancer types, we compared heterogeneities at the levels of mutations and gene expression with the repertoires of targeted therapeutics and their molecular targets accepted by the current guideli…

Gene mutationMedical OncologychemotherapyGenomeTranscriptomelcsh:ChemistryDrug Delivery SystemsProstateNeoplasmstumor heterogeneityMedicineCluster AnalysisMolecular Targeted TherapyPathology MolecularPrecision Medicinelcsh:QH301-705.5targeted therapeuticscancer drugsSpectroscopyExome sequencingGeneral MedicineGenomicspersonalized medicineComputer Science ApplicationsDrug repositioningmedicine.anatomical_structureAntineoplastic AgentsComputational biologyCatalysisArticleInorganic Chemistrymolecular diagnosticsGenetic HeterogeneityDrug TherapyExome SequencingHumansPhysical and Theoretical ChemistryMolecular Biologygenomeclinical oncologybusiness.industryOrganic ChemistryMolecular diagnosticsmutationslcsh:Biology (General)lcsh:QD1-999MutationPersonalized medicinebusinesstranscriptomeInternational Journal of Molecular Sciences
researchProduct