Search results for "MM-GBSA"

showing 8 items of 8 documents

In vitro and in silico studies of polycondensed diazine systems as anti-parasitic agents

2012

Abstract Parasitic diseases caused by protozoarian agents are still relevant today more than ever. Recently, we synthesized several polycondensed diazine derivatives by means 1,3-dipolar cycloaddition reactions. A broad selection of these compounds were submitted to in vitro biological screening against Plasmodium falciparum , Leishmania infantum , Trypanosoma brucei , and Trypanosoma cruzi , resulting active at micromolar level. Induced Fit Docking/MM-GBSA studies were performed giving interesting indications about the probable mechanism of action of the most active compounds

Models MolecularTrypanosoma cruziIn silicoPlasmodium falciparumTrypanosoma brucei bruceiClinical BiochemistryPharmaceutical ScienceTrypanosoma bruceiBiochemistryStructure-Activity Relationshipchemistry.chemical_compoundParasitic Sensitivity Testsparasitic diseasesDrug DiscoveryLeishmania infantumTrypanosoma cruziMolecular BiologyDiazineAntiparasitic AgentsDose-Response Relationship DrugMolecular StructurebiologyOrganic ChemistryPlasmodium falciparumAnti-parasitic Plasmodium Leishmania Trypanosoma Diazine Induced fit docking/MM-GBSAbiology.organism_classificationSettore CHIM/08 - Chimica FarmaceuticaHydrazineschemistryBiochemistryDocking (molecular)TrypanosomaMolecular MedicineLeishmania infantumBioorganic & Medicinal Chemistry Letters
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Deciphering the Nonsense Readthrough Mechanism of Action of Ataluren: An in Silico Compared Study

2019

Ataluren was reported to suppress nonsense mutations by promoting the readthrough of premature stop codons, although its mechanism of action (MOA) is still debated. The likely interaction of Ataluren with CFTR-mRNA has been previously studied by molecular dynamics. In this work we extended the modeling of Ataluren's MOA by complementary computational approaches such as induced fit docking (IFD), quantum polarized ligand docking (QPLD), MM-GBSA free-energy calculations, and computational mutagenesis. In addition to CFTR-mRNA, this study considered other model targets implicated in the translation process, such as eukaryotic rRNA 18S, prokaryotic rRNA 16S, and eukaryotic Release Factor 1 (eRF…

In silicoNonsense mutationComputational biology01 natural sciencesRibosomeBiochemistrychemistry.chemical_compoundDrug DiscoveryQPLDcomputational mutagenesiMM-GBSA010405 organic chemistryChemistryDrug Discovery3003 Pharmaceutical ScienceOrganic Chemistrypremature termination codonSettore CHIM/06 - Chimica OrganicaSettore CHIM/08 - Chimica FarmaceuticaStop codon0104 chemical sciencesAtalurenInduced fit docking010404 medicinal & biomolecular chemistrySettore BIO/18 - GeneticaDocking (molecular)ProofreadingRelease factoroxadiazole
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Case-specific performance of MM-PBSA, MM-GBSA, and SIE in virtual screening.

2015

In drug discovery the reliable prediction of binding free energies is of crucial importance. Methods that combine molecular mechanics force fields with continuum solvent models have become popular because of their high accuracy and relatively good computational efficiency. In this research we studied the performance of molecular mechanics generalized Born surface area (MM-GBSA), molecular mechanics Poisson-Boltzmann surface area (MM-PBSA), and solvated interaction energy (SIE) both in their virtual screening efficiency and their ability to predict experimentally determined binding affinities for five different protein targets. The protein-ligand complexes were derived with two different app…

molecular mechanics generalized Born surface areaPhosphodiesterase InhibitorsMolecular Dynamics Simulationta3111Molecular mechanicsMolecular Docking Simulationbeta-LactamasesMolecular dynamicssolvated interaction energyBacterial ProteinsComputational chemistryAldehyde ReductaseDrug DiscoveryMaterials ChemistryHumansHSP90 Heat-Shock ProteinsPhysical and Theoretical ChemistryBeta-Lactamase InhibitorsSpectroscopymolecular mechanics Poisson-Boltzmann surface areaMM-GBSAVirtual screeningBinding SitesChemistryPhosphoric Diester Hydrolasesta1182Hydrogen BondingInteraction energyvirtual screeningComputer Graphics and Computer-Aided DesignMolecular Docking SimulationMM-PBSAModels ChemicalROC CurveSolvent modelsDocking (molecular)Area Under CurveBiological systemReceptors Progesteronebeta-Lactamase InhibitorsHydrophobic and Hydrophilic InteractionsProtein BindingJournal of molecular graphicsmodelling
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Investigating the inhibition of FTSJ1 a tryptophan tRNA-specific 2’-O-methyltransferase by NV TRIDs, as a mechanism of readthrough in nonsense mutate…

2023

Abstract: Cystic Fibrosis (CF) is an autosomal recessive genetic disease caused by mutations in the CFTR gene, coding for the CFTR chloride channel. About 10% of the CFTR gene mutations are "stop" mutations, which generate a Premature Termination Codon (PTC), thus synthesizing a truncated CFTR protein. A way to bypass PTC relies on ribosome readthrough, which is the ri-bosome’s capacity to skip a PTC, thus generating a full-length protein. “TRIDs” are molecules exerting ribosome readthrough; for some, the mechanism of action is still under debate. We in-vestigate a possible mechanism of action (MOA) by which our recently synthesized TRIDs, namely NV848, NV914, and NV930, could exert their r…

Settore BIO/18 - GeneticaKeywords: FTSJ1 methyltransferase tRNA readthrough stop codon mutation small molecules docking molecular dynamics MM-GBSASettore CHIM/06 - Chimica OrganicaSettore CHIM/08 - Chimica Farmaceutica
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Reverse Screening on Indicaxanthin from Opuntia ficus-indica as natural chemoactive and chemopreventive agent

2018

Indicaxanthin is a bioactive and bioavailable betalain pigment extracted from Opuntia ficus indica fruits. Indicaxanthin has pharmacokinetics proprieties, rarely found in other phytochemicals, and it has been demonstrated that it provides a broad-spectrum of pharmaceutical activity, exerting antiproliferative, anti-inflammatory and neuromodulator effects. The discovery of the Indicaxanthin physiological targets plays an important role in understanding the biochemical mechanism. In this study, combined reverse pharmacophore mapping, reverse docking, and text-based database search identified Inositol Trisphosphate 3-Kinase (ITP3K-A), Glutamate carboxypeptidase II (GCPII), Leukotriene-A4 hydro…

reverse screening Indicaxanthin molecular modelling MM-GBSA Molecular Dynamics Docking
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A Definitive Pharmacophore Modelling Study on CDK2 ATP Pocket Binders: Tracing the Path of New Virtual High-Throughput Screenings

2020

Cyclin Dependent Kinases-2 (CDK2) are members of serine/threonine protein kinases family. They play an important role in the regulation events of the eukaryotic cell division cycle, especially during the G1 to S phase transition. Experimental evidence indicate that excessive expression of CDK2s should cause abnormal cell cycle regulation. Therefore, since a long time, CDK2s have been considered potential therapeutic targets for cancer therapy. In this work, onehundred and forty-nine complexes of inhibitors bound in the CDK2-ATP pocket were submitted to short MD simulations (10ns) and free energy calculation. Comparison with experimental data (K<sub>i</sub>, K<sub>d</su…

CDK20301 basic medicineComputer scienceATP pocketCancer therapyComputational biologyMolecular dynamicsTracingCommon hits approachInhibitory Concentration 5003 medical and health sciencesMolecular dynamicsAdenosine Triphosphate0302 clinical medicineNeoplasmsDrug DiscoveryHumansProtein Kinase InhibitorsThroughput (business)Eukaryotic cellMM-GBSABinding SitesbiologyCyclin-Dependent Kinase 2Cyclin-dependent kinase 2High-Throughput Screening AssaysMolecular Docking Simulation030104 developmental biology030220 oncology & carcinogenesisPharmacophore modellingPath (graph theory)biology.proteinPharmacophoreProtein BindingCurrent Drug Discovery Technologies
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Reverse screening on indicaxanthin from Opuntia ficus-indica as natural chemoactive and chemopreventive agent

2018

Indicaxanthin is a bioactive and bioavailable betalain pigment extracted from Opuntia ficus indica fruits. Indicaxanthin has pharmacokinetic proprieties, rarely found in other phytochemicals, and it has been demonstrated that it provides a broad-spectrum of pharmaceutical activity, exerting anti-proliferative, anti-inflammatory, and neuromodulator effects. The discovery of the Indicaxanthin physiological targets plays an important role in understanding the biochemical mechanism. In this study, combined reverse pharmacophore mapping, reverse docking, and text-based database search identified Inositol Trisphosphate 3-Kinase (ITP3K-A), Glutamate carboxypeptidase II (GCPII), Leukotriene-A4 hydr…

0301 basic medicineStatistics and ProbabilityMolecular dynamicPyridinesKainate receptorIndicaxanthinPhytochemical01 natural sciencesGeneral Biochemistry Genetics and Molecular BiologyDocking03 medical and health scienceschemistry.chemical_compoundNeoplasmsGlutamate carboxypeptidase IIData MiningHumansEnzyme InhibitorsMM-GBSAPharmacophore modelingBinding SitesGeneral Immunology and MicrobiologyReverse screening010405 organic chemistryAnti-cancerApplied MathematicsPhosphodiesteraseOpuntiaPhosphoserine phosphataseInositol trisphosphateGeneral MedicineAntineoplastic Agents Phytogenic0104 chemical sciencesBetaxanthinsNeoplasm ProteinsNeuromodulatorMolecular Docking SimulationAnti-inflammatory agent030104 developmental biologychemistryBiochemistryDocking (molecular)Modeling and SimulationPharmacophoreGeneral Agricultural and Biological SciencesIndicaxanthin
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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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