Search results for "PROTEIN INTERACTION"

showing 10 items of 228 documents

Algorithms and tools for protein-protein interaction networks clustering, with a special focus on population-based stochastic methods

2014

Abstract Motivation: Protein–protein interaction (PPI) networks are powerful models to represent the pairwise protein interactions of the organisms. Clustering PPI networks can be useful for isolating groups of interacting proteins that participate in the same biological processes or that perform together specific biological functions. Evolutionary orthologies can be inferred this way, as well as functions and properties of yet uncharacterized proteins. Results: We present an overview of the main state-of-the-art clustering methods that have been applied to PPI networks over the past decade. We distinguish five specific categories of approaches, describe and compare their main features and …

Statistics and ProbabilityComputer sciencePopulationPopulation basedMachine learningcomputer.software_genreBiochemistryProtein protein interaction networkgenetic algorithmsProtein–protein interactionBioinformatics Clustering Biological NetworksPPI networkscomplex detectionProtein Interaction MappingAnimalsCluster AnalysisHumanseducationCluster analysisMolecular BiologyTopology (chemistry)Class (computer programming)education.field_of_studybusiness.industryfood and beveragesProteinsComputer Science ApplicationsComputational MathematicsComputational Theory and MathematicsArtificial intelligenceData miningbusinessFocus (optics)computerAlgorithms
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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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4-4-20 anti-fluorescyl IgG Fab' recognition of membrane bound hapten: direct evidence for the role of protein and interfacial structure.

1995

The surface forces apparatus was used to identify the molecular forces that control the interactions of monoclonal 4-4-20 antifluorescyl IgG Fab' fragments with fluorescein-presenting supported planar bilayers. At long range, the electrostatic force between oriented Fab' and fluorescein monolayers was controlled by the composition of the protein exterior surrounding the antigen-combining site rather than by the overall protein charge. The measured positive electrostatic potential of the Fab' monolayer at pH > pI(Fab') was consistent with the structure of the exposed Fab' surface in which a ring of positive charge at the mouth of the antigen-combining site dominates the local electrostatic s…

Steric effectsProtein DenaturationChemistryStereochemistryProtein ConformationSurface PropertiesCell MembraneAntibodies MonoclonalSurface forces apparatusAdhesionFluoresceinsBiochemistryProtein–protein interactionAntigen-Antibody ReactionsImmunoglobulin Fab FragmentsMembraneProtein structureImmunoglobulin GMonolayerBiophysicsElectrochemistryFluoresceinHaptenHaptensBiochemistry
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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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Complex Detection in Protein-Protein Interaction Networks: A Compact Overview for Researchers and Practitioners

2012

The availability of large volumes of protein-protein interaction data has allowed the study of biological networks to unveil the complex structure and organization in the cell. It has been recognized by biologists that proteins interacting with each other often participate in the same biological processes, and that protein modules may be often associated with specific biological functions. Thus the detection of protein complexes is an important research problem in systems biology. In this review, recent graph-based approaches to clustering protein interaction networks are described and classified with respect to common peculiarities. The goal is that of providing a useful guide and referenc…

Structure (mathematical logic)Computer scienceSystems biologyCellData ScienceNanotechnologyComputational biologyProtein protein interaction networkBioinformatics network analysismedicine.anatomical_structuremedicineGraph (abstract data type)Lecture Notes in Computer ScienceCluster analysisProtein modulesBiological network
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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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Binding properties and stability of the Ras-association domain of Rap1-GTP interacting adapter molecule (RIAM).

2012

The Rap1-GTP interacting adapter protein (RIAM) is an important protein in Rap1-mediated integrin activation. By binding to both Rap1 GTPase and talin, RIAM recruits talin to the cell membrane, thus facilitating talin-dependent integrin activation. In this article, we studied the role of the RIAM Ras-association (RA) and pleckstrin-homology (PH) domains in the interaction with Rap1. We found that the RA domain was sufficient for GTP-dependent interaction with Rap1B, and the addition of the PH domain did not change the binding affinity. We also detected GTP-independent interaction of Rap1B with the N-terminus of RIAM. In addition, we found that the PH domain stabilized the RA domain both in …

TalinIntegrinsGTP'lcsh:MedicineGTPaseSignal transductionBiochemistryProtein structureMolecular cell biologyRIAMlcsh:Science0303 health sciencesMultidisciplinarybiologyProtein Stability030302 biochemistry & molecular biologySignal transducing adaptor proteinrap1 GTP-Binding ProteinssitoutuminenCell biologyPleckstrin homology domainRap1Research Articleendocrine systemvuorovaikutusProtein domainIntegrinSignaling in cellular processesPhosphoinositide Signal TransductionSignaling Pathways03 medical and health sciencesCell AdhesionHumansProtein InteractionsBiologyGTPase signaling030304 developmental biologyRas signalingAdaptor Proteins Signal Transducingintegriinitlcsh:RProteinsMembrane ProteinsRegulatory ProteinsProtein Structure TertiaryCytoskeletal Proteinsenzymes and coenzymes (carbohydrates)rap GTP-Binding ProteinsCell movement signalingbiology.proteinta1181lcsh:QPLoS ONE
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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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