Search results for "Protein Interaction Map"

showing 10 items of 80 documents

Iterative Cluster Analysis of Protein Interaction Data

2004

Abstract Motivation: Generation of fast tools of hierarchical clustering to be applied when distances among elements of a set are constrained, causing frequent distance ties, as happens in protein interaction data. Results: We present in this work the program UVCLUSTER, that iteratively explores distance datasets using hierarchical clustering. Once the user selects a group of proteins, UVCLUSTER converts the set of primary distances among them (i.e. the minimum number of steps, or interactions, required to connect two proteins) into secondary distances that measure the strength of the connection between each pair of proteins when the interactions for all the proteins in the group are consid…

Statistics and ProbabilitySaccharomyces cerevisiae ProteinsComputer sciencecomputer.software_genreBiochemistryInteractomePattern Recognition AutomatedSet (abstract data type)Protein Interaction MappingCluster (physics)Cluster AnalysisCluster analysisMolecular BiologyCytoskeletonMeasure (data warehouse)Gene Expression ProfilingProteinsActinsComputer Science ApplicationsHierarchical clusteringGene expression profilingComputational MathematicsComputational Theory and MathematicsPattern recognition (psychology)Benchmark (computing)Data miningcomputerAlgorithmsSoftwareSignal TransductionBioinformatics
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Basic networks: Definition and applications

2009

7 pages, 4 figures, 1 table.-- PMID: 19490867 [PubMed]

Statistics and ProbabilityTheoretical computer scienceInteractomeGeodesicinteractomeSteiner tree problemModels BiologicalGeneral Biochemistry Genetics and Molecular BiologyGraph03 medical and health sciencessymbols.namesakeModuleProtein Interaction MappingmoduleAnimalsSteiner tree030304 developmental biologyMathematicsDiscrete mathematics0303 health sciencesModels StatisticalGeneral Immunology and MicrobiologyApplied Mathematics030302 biochemistry & molecular biologyGeneral MedicinegraphGraphModeling and SimulationsymbolsNeural Networks ComputerGeneral Agricultural and Biological SciencesAlgorithms
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Protein-membrane interaction probed by single plasmonic nanoparticles.

2008

We present a nanosized and addressable sensor platform based on membrane coated plasmonic particles and show unequivocally the covering with lipid bilayers as well as the subsequent detection of streptavidin binding to biotinylated lipids. The binding is detected on membrane covered gold nanorods by monitoring the spectral shift by fast single particle spectroscopy (fastSPS) on many particles in parallel. Our approach allows for local analysis of protein interaction with biological membranes as a function of the lateral composition of phase separated membranes.

StreptavidinMaterials scienceNanoparticleMolecular Probe TechniquesBioengineeringNanotechnologyResonance (particle physics)Spectral lineQuantitative Biology::Subcellular Processeschemistry.chemical_compoundProtein Interaction MappingGeneral Materials ScienceSurface plasmon resonanceSpectroscopyLipid bilayerPlasmonPlasmonic nanoparticlesbusiness.industryChemistryMechanical EngineeringCell MembraneMembrane ProteinsBiological membraneGeneral ChemistrySurface Plasmon ResonanceCondensed Matter PhysicsDark field microscopyMembraneTransmission electron microscopyBiotinylationParticleOptoelectronicsNanoparticlesbusinessNano letters
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Modular organization in the reductive evolution of protein-protein interaction networks

2006

Analysis of the reduction in genome size of Buchnera aphidicola from its common ancestor E. coli shows that the organization of networks into modules is the property that seems to be directly related with the evolutionary process of genome reduction.

Systems biologyComplex systemComputational biologyBiologyGenomeProtein protein interaction networkProtein–protein interactionBuchneraInteraction networkProtein Interaction MappingEscherichia coliAnimalsHumansDatabases ProteinGeneticsbusiness.industrySystems BiologyResearchbiochemical phenomena metabolism and nutritionModular designbiology.organism_classificationBiological EvolutionProtein Structure TertiaryStructural Homology ProteinMultiprotein ComplexesBuchnerabusinessAlgorithmsGenome BacterialGenome Biology
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The Mitochondrial Targeting Chaperone 14-3-3ε Regulates a RIG-I Translocon that Mediates Membrane Association and Innate Antiviral Immunity

2012

SummaryRIG-I is a cytosolic pathogen recognition receptor that initiates immune responses against RNA viruses. Upon viral RNA recognition, antiviral signaling requires RIG-I redistribution from the cytosol to membranes where it binds the adaptor protein, MAVS. Here we identify the mitochondrial targeting chaperone protein, 14-3-3ε, as a RIG-I-binding partner and essential component of a translocation complex or “translocon” containing RIG-I, 14-3-3ε, and the TRIM25 ubiquitin ligase. The RIG-I translocon directs RIG-I redistribution from the cytosol to membranes where it mediates MAVS-dependent innate immune signaling during acute RNA virus infection. 14-3-3ε is essential for the stable inte…

TRIM25Cancer ResearchUbiquitin-Protein Ligasesviruseschemical and pharmacologic phenomenaHepacivirusMicrobiologyAntiviral AgentsModels BiologicalArticleCell LineDEAD-box RNA HelicasesTripartite Motif Proteins03 medical and health sciences0302 clinical medicineVirologyImmunology and Microbiology(all)Protein Interaction MappingHumansReceptors ImmunologicDEAD Box Protein 58Molecular Biology030304 developmental biology0303 health sciencesInnate immune systembiologyRIG-IRNAMembrane Proteinsvirus diseasesRNA virusbiochemical phenomena metabolism and nutritionbiology.organism_classificationTranslocon3. Good healthCell biology14-3-3 Proteins030220 oncology & carcinogenesisChaperone (protein)biology.proteinDEAD Box Protein 58Parasitologybiological phenomena cell phenomena and immunityMolecular ChaperonesProtein BindingTranscription FactorsCell Host & Microbe
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Statistically validated networks in bipartite complex systems.

2011

Many complex systems present an intrinsic bipartite nature and are often described and modeled in terms of networks [1-5]. Examples include movies and actors [1, 2, 4], authors and scientific papers [6-9], email accounts and emails [10], plants and animals that pollinate them [11, 12]. Bipartite networks are often very heterogeneous in the number of relationships that the elements of one set establish with the elements of the other set. When one constructs a projected network with nodes from only one set, the system heterogeneity makes it very difficult to identify preferential links between the elements. Here we introduce an unsupervised method to statistically validate each link of the pr…

Theoretical computer scienceComputer sciencelcsh:MedicineNetwork theorySocial and Behavioral SciencesBioinformaticsQuantitative Biology - Quantitative MethodsSociologyProtein Interaction Mappinglcsh:ScienceQuantitative Methods (q-bio.QM)MultidisciplinarySystems BiologyApplied MathematicsPhysicsStatisticsComplex SystemsGenomicsLink (geometry)Social NetworksSpecialization (logic)Interdisciplinary PhysicsBipartite graphProbability distributionResearch ArticleNetwork analysisPhysics - Physics and SocietyComplex systemFOS: Physical sciencesPhysics and Society (physics.soc-ph)Type (model theory)BiologyModels BiologicalNetwork theory Statistical PhysicsStatistical MechanicsSet (abstract data type)Statistical MethodsBiologyStructure (mathematical logic)Statistical Physicslcsh:RComputational BiologyModels TheoreticalComparative GenomicsSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)FOS: Biological sciencesNetwork theorylcsh:QNull hypothesisMathematicsPLoS ONE
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Asymmetric Comparison and Querying of Biological Networks

2011

Comparing and querying the protein-protein interaction (PPI) networks of different organisms is important to infer knowledge about conservation across species. Known methods that perform these tasks operate symmetrically, i.e., they do not assign a distinct role to the input PPI networks. However, in most cases, the input networks are indeed distinguishable on the basis of how the corresponding organism is biologically well characterized. In this paper a new idea is developed, that is, to exploit differences in the characterization of organisms at hand in order to devise methods for comparing their PPI networks. We use the PPI network (called Master) of the best characterized organism as a …

Theoretical computer scienceFinite-state machineMatching (graph theory)Computer scienceApplied MathematicsFingerprint (computing)Process (computing)Computational BiologyViterbi algorithmModels BiologicalAutomatonBioinformatics network analysissymbols.namesakeSequence Analysis ProteinLinearizationProtein Interaction MappingGeneticssymbolsProtein Interaction Domains and MotifsSequence AlignmentAlgorithmsBiological networkBiotechnologyIEEE/ACM Transactions on Computational Biology and Bioinformatics
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The Transcription Factors TBX2 and TBX3 Interact with Human Papillomavirus 16 (HPV16) L2 and Repress the Long Control Region of HPVs

2013

ABSTRACT The minor capsid protein L2 of human papillomaviruses (HPVs) has multiple functions during the viral life cycle. Although L2 is required for effective invasion and morphogenesis, only a few cellular interaction partners are known so far. Using yeast two-hybrid screening, we identified the transcription factor TBX2 as a novel interaction partner of HPV type 16 (HPV16) L2. Coimmunoprecipitations and immunofluorescence analyses confirmed the L2-TBX2 interaction and revealed that L2 also interacts with TBX3, another member of the T-box family. Transcription of the early genes during HPV infection is under the control of an upstream enhancer and early promoter region, the long control r…

Transcription GeneticImmunologyBiologyCervical intraepithelial neoplasiaVirus ReplicationMicrobiologyViral life cycleTranscription (biology)VirologyTwo-Hybrid System TechniquesGene expressionProtein Interaction MappingmedicineHumansImmunoprecipitationGeneTranscription factorGeneticsHuman papillomavirus 16virus diseasesPromoterOncogene Proteins Viralmedicine.diseasefemale genital diseases and pregnancy complicationsGenome Replication and Regulation of Viral Gene ExpressionMicroscopy FluorescenceInsect ScienceHost-Pathogen InteractionsCapsid ProteinsT-Box Domain ProteinsChromatin immunoprecipitationHeLa Cells
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Interactions between cholinergic and fibroblast growth factor receptors in brain trophism and plasticity

2014

Acetylcholine, acting on both nicotinic receptors (nAChRs) and muscarinic receptors (mAChRs), plays a role in the regulation of synaptic plasticity, being involved in the regulation of cellular processes and cognitive functions, such as learning, memory and attention. Recently, G protein coupled receptors (GPCRs), including mAChRs, have been reported to transactivate tyrosine-kinase receptors (RTK), such as epidermal growth factor receptor (EGFR), and initiate their intracellular signaling. In this minireview we have first analysed the RTK transactivation mechanisms, involving cholinergic receptors, and thereafter the interplay between AChR and neurotrophic factor systems built up by FGF2 a…

Transcriptional Activationmedicine.medical_specialtyClass C GPCRG protein coupled receptorBiologyCholinergic AgonistsBiochemistrySynaptic plasticityTransactivationNicotinic receptorNeurotrophic factorsInternal medicinemedicineAnimalsHumansReceptors CholinergicProtein Interaction MapsReceptorMolecular BiologyG protein-coupled receptorTransactivationNeuronal PlasticityFibroblast growth factor receptor 1Muscarinic receptorBrainReceptor Protein-Tyrosine KinasesCell BiologyGeneral MedicineReceptors Fibroblast Growth FactorErbB ReceptorsEndocrinologyFGFR1Fibroblast growth factor receptorFGFR1; G protein coupled receptor; Muscarinic receptors; Nicotinic receptors; Receptor-receptor interaction; Synaptic plasticity; Transactivation; Tyrosine-kinase receptorsSignal transductionTyrosine-kinase receptorsNeuroscienceReceptor-receptor interactionSignal Transduction
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Probing protein interactions in the membrane-containing virus PRD1.

2015

PRD1 is a Gram-negative bacteria infecting complex tailless icosahedral virus with an inner membrane. This type virus of the family Tectiviridae contains at least 18 structural protein species, of which several are membrane associated. Vertices of the PRD1 virion consist of complexes recognizing the host cell, except for one special vertex through which the genome is packaged. Despite extensive knowledge of the overall structure of the PRD1 virion and several individual proteins at the atomic level, the locations and interactions of various integral membrane proteins and membrane-associated proteins still remain a mystery. Here, we demonstrated that blue native PAGE can be used to probe pro…

Viral Structural Proteins0303 health sciencesVesicle-associated membrane protein 8Macromolecular Substances030302 biochemistry & molecular biologyMutantMembrane ProteinsBiologyVirologyTransmembrane proteinProtein–protein interaction03 medical and health sciencesLytic cycleVirologyProtein Interaction MappingInner membraneTectiviridaeBacteriophage PRD1Electrophoresis Polyacrylamide GelProtein MultimerizationIntegral membrane protein030304 developmental biologyThe Journal of general virology
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