Search results for "PROTEIN INTERACTION"

showing 8 items of 228 documents

HSV-1 Glycoprotein D and Its Surface Receptors: Evaluation of Protein–Protein Interaction and Targeting by Triazole-Based Compounds through In Silico…

2023

Protein–protein interactions (PPI) represent attractive targets for drug design. Thus, aiming at a deeper insight into the HSV-1 envelope glycoprotein D (gD), protein–protein docking and dynamic simulations of gD-HVEM and gD-Nectin-1 complexes were performed. The most stable complexes and the pivotal key residues useful for gD to anchor human receptors were identified and used as starting points for a structure-based virtual screening on a library of both synthetic and designed 1,2,3-triazole-based compounds. Their binding properties versus gD interface with HVEM and Nectin-1 along with their structure-activity relationships (SARs) were evaluated. Four [1,2,3]triazolo[4,5-b]pyridines were i…

glycoprotein DOrganic Chemistrymolecular dynamics simulationsGeneral MedicineHSV-1Settore CHIM/08 - Chimica FarmaceuticaCatalysisComputer Science ApplicationsInorganic Chemistryprotein–protein interactionprotein–protein interaction; HSV-1; 123-triazoles; docking; molecular dynamics simulations; glycoprotein Ddocking123-triazolesPhysical and Theoretical ChemistryMolecular BiologySpectroscopyInternational Journal of Molecular Sciences
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Prediction of Specific TCR-Peptide Binding From Large Dictionaries of TCR-Peptide Pairs

2019

Abstract The T cell repertoire is composed of T cell receptors (TCR) selected by their cognate MHC-peptides and naive TCR that do not bind known peptides. While the task of distinguishing a peptide-binding TCR from a naive TCR unlikely to bind any peptide can be performed using sequence motifs, distinguishing between TCRs binding different peptides requires more advanced methods. Such a prediction is the key for using TCR repertoires as disease-specific biomarkers. We here used large scale TCR-peptide dictionaries with state-of-the-art natural language processing (NLP) methods to produce ERGO (pEptide tcR matchinG predictiOn), a highly specific classifier to predict which TCR binds to which…

lcsh:Immunologic diseases. AllergyComputer scienceevaluation methodsT-LymphocytesT cellImmunologyReceptors Antigen T-CellEpitopes T-LymphocyteTarget peptidePeptide bindingPeptidechemical and pharmacologic phenomenaComputational biologyLigandsSoftware implementationautoencoder (AE)AntigenEvaluation methodsmedicineImmunology and AllergyHumansProtein Interaction Domains and MotifsEpitope specificityAntigensDatabases ProteinOriginal Researchchemistry.chemical_classificationBinding SitesT cell repertoireChemistryRepertoirelong short-term memory (LSTM)T-cell receptorepitope specificitydeep learninghemic and immune systemsmedicine.anatomical_structuremachine learningPeptidesSequence motiflcsh:RC581-607SoftwareProtein BindingSignal TransductionTCR repertoire analysisFrontiers in Immunology
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Small things matter : of phages and antibiotic resistance conferring plasmids

2016

Viruses and plasmids are small units of genetic material dependent on cells either transiently or continuously. Intriguingly, stories of these small entities intertwine in antibiotic resistance crisis. Horizontal gene transfer enables bacteria to respond rapidly to chances in their environment. Anthropogenic consumption of antibiotics induces the travel of resistance encoding genes mainly as passengers of conjugative plasmids. In this thesis, I demonstrate that clinically important resistance plasmids could evolutionarily rescue susceptible bacteria under lethal antibiotic concentrations. If mobile resistance genes are available in surrounding community, administration of high doses of anti…

lääkeresistenssiantibiotic resistancephage therapygeenitviruksetantibiootitgeenitekniikkaprotein interactionsbakteriofagitfagiterapiabakteeritplasmiditfaagiterapiabacteriophageconjugative plasmidhorizontal gene transferproteiinithorisontaalinen geeninsiirto
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The Interaction Mechanism of Intrinsically Disordered PP2A Inhibitor Proteins ARPP-16 and ARPP-19 With PP2A

2021

Protein phosphatase 2A (PP2A) activity is critical for maintaining normal physiological cellular functions. PP2A is inhibited by endogenous inhibitor proteins in several pathological conditions including cancer. A PP2A inhibitor protein, ARPP-19, has recently been connected to several human cancer types. Accordingly, the knowledge about ARPP-19—PP2A inhibition mechanism is crucial for the understanding the disease development and the therapeutic targeting of ARPP-19—PP2A. Here, we show the first structural characterization of ARPP-19, and its splice variant ARPP-16 using NMR spectroscopy, and SAXS. The results reveal that both ARPP proteins are intrinsically disordered but contain transient…

macromolecular substancesIntrinsically disordered proteinsBiochemistry Genetics and Molecular Biology (miscellaneous)Biochemistryenvironment and public healthProtein–protein interactionprotein-protein interaction03 medical and health sciences0302 clinical medicineNMR spectroscopyIDPSARPP-16Molecular BiosciencesARPP-19NMR-spektroskopialcsh:QH301-705.5Molecular BiologyProtein secondary structure030304 developmental biologyOriginal Researchsoluviestintä0303 health sciencesMicroscale thermophoresisChemistryAlternative splicingInhibitor proteinProtein phosphatase 2Nuclear magnetic resonance spectroscopySAXS3. Good healthPP2APP2A inhibitor proteinssyöpäsolutlcsh:Biology (General)Biophysicsintrinsically disordered proteinsproteiinit030217 neurology & neurosurgery
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α-secretase mediated conversion of the amyloid precursor protein derived membrane stub C99 to C83 limits Aβ generation

2009

The Swedish mutation within the amyloid precursor protein (APP) causes early-onset Alzheimer's disease due to increased cleavage of APP by BACE1. While beta-secretase shedding of Swedish APP (APPswe) largely results from an activity localized in the late secretory pathway, cleavage of wild-type APP occurs mainly in endocytic compartments. However, we show that liberation of Abeta from APPswe is still dependent on functional internalization from the cell surface. Inspite the unchanged overall beta-secretase cleaved soluble APP released from APP(swe) secretion, mutations of the APPswe internalization motif strongly reduced C99 levels and substantially decreased Abeta secretion. We point out t…

medicine.medical_specialtymedia_common.quotation_subjectEndocytic cycleCHO CellsTransfectionBiochemistryAmyloid beta-Protein PrecursorCellular and Molecular NeuroscienceCricetulusCricetinaeInternal medicinemental disordersmedicineAmyloid precursor proteinAnimalsHumansBiotinylationProtein Interaction Domains and MotifsSecretionInternalizationSecretory pathwaymedia_commonAmyloid beta-PeptidesbiologyChemistryP3 peptidePeptide FragmentsCell biologyEndocrinologyGene Expression RegulationAlpha secretaseMutationbiology.proteinAmyloid Precursor Protein SecretasesAmyloid precursor protein secretaseJournal of Neurochemistry
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Design, Synthesis, Chemical and Biochemical Insights Into Novel Hybrid Spirooxindole-Based p53-MDM2 Inhibitors With Potential Bcl2 Signaling Attenuat…

2021

The tumor resistance to p53 activators posed a clinical challenge. Combination studies disclosed that concomitant administration of Bcl2 inhibitors can sensitize the tumor cells and induce apoptosis. In this study, we utilized a rapid synthetic route to synthesize two novel hybrid spirooxindole-based p53-MDM2 inhibitors endowed with Bcl2 signaling attenuation. The adducts mimic the thematic features of the chemically stable potent spiro [3H-indole-3,2′-pyrrolidin]-2(1H)-ones p53-MDM2 inhibitors, while installing a pyrrole ring via a carbonyl spacer inspired by the natural marine or synthetic products that efficiently inhibit Bcl2 family functions. A chemical insight into the two synthesized…

p53human homolog of mouse double minute 2 (MDM2)ChemistryGeneral ChemistryspirooxindoleBcl 2protein–protein interaction (PPI)QD1-999Original ResearchFrontiers in Chemistry
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Protein Interaction Networks in Health and Disease

2016

protein networkdiseaseEditorialPhysiologysystems biologyprotein functionprotein interactionsFrontiers in Genetics
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CYGD: the Comprehensive Yeast Genome Database.

2005

The comprehensive resource is available under http://mips.gsf.de/genre/proj/yeast/.; International audience; The Comprehensive Yeast Genome Database (CYGD) compiles a comprehensive data resource for information on the cellular functions of the yeast Saccharomyces cerevisiae and related species, chosen as the best understood model organism for eukaryotes. The database serves as a common resource generated by a European consortium, going beyond the provision of sequence information and functional annotations on individual genes and proteins. In addition, it provides information on the physical and functional interactions among proteins as well as other genetic elements. These cellular network…

ved/biology.organism_classification_rank.speciesSACCHAROMYCES CEREVISIAE GENOME;COMPREHENSIVE YEAST GENOME DATABASE;CYGD;PROTEIN INTERACTION;EUROPEAN CONSORTIUM;SEQUENCE INFORMATION;YEAST GENOME;SEQUENCED EUKARYOTIC GENOMEcomputer.software_genreGenomeSaccharomycesUser-Computer InterfaceSequence Analysis ProteinDatabases GeneticYEAST GENOME[INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM]0303 health sciences[SDV.BIBS] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]biologyDatabase030302 biochemistry & molecular biologyEUROPEAN CONSORTIUMArticlesGenomicsCYGD[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]PROTEIN INTERACTIONSEQUENCED EUKARYOTIC GENOMEnucleic acidsCOMPREHENSIVE YEAST GENOME DATABASEBio-informatiqueGenome FungalSEQUENCE INFORMATIONSaccharomyces cerevisiae ProteinsBioinformaticsSaccharomyces cerevisiae610Saccharomyces cerevisiaeGenètica molecularSACCHAROMYCES CEREVISIAE GENOMESaccharomyces03 medical and health sciencesAnnotationGeneticsSIMAPModel organismGene030304 developmental biologyBinding Sitesved/biologyMembrane ProteinsMembrane Transport Proteinsbiology.organism_classificationYeast[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]computerSDV:BIBSTranscription Factors
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