Search results for "protein interaction network"

showing 8 items of 18 documents

An evolutionary restricted neighborhood search clustering approach for PPI networks

2014

Protein-protein interaction networks have been broadly studied in the last few years, in order to understand the behavior of proteins inside the cell. Proteins interacting with each other often share common biological functions or they participate in the same biological process. Thus, discovering protein complexes made of a group of proteins strictly related can be useful to predict protein functions. Clustering techniques have been widely employed to detect significant biological complexes. In this paper, we integrate one of the most popular network clustering techniques, namely the Restricted Neighborhood Search Clustering (RNSC), with evolutionary computation. The two cost functions intr…

Computer sciencebusiness.industryCognitive NeuroscienceNeighborhood searchComputational biologyPPI networks clusteringGenetic algorithmsMachine learningcomputer.software_genreBudding yeastEvolutionary computationComputer Science ApplicationsOrder (biology)Artificial IntelligenceGenetic algorithmArtificial intelligenceEvolutionary approachesbusinessCluster analysiscomputerProtein-protein interaction networks clustering
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MIPPIE: the mouse integrated protein–protein interaction reference

2020

Abstract Cells operate and react to environmental signals thanks to a complex network of protein–protein interactions (PPIs), the malfunction of which can severely disrupt cellular homeostasis. As a result, mapping and analyzing protein networks are key to advancing our understanding of biological processes and diseases. An invaluable part of these endeavors has been the house mouse (Mus musculus), the mammalian model organism par excellence, which has provided insights into human biology and disorders. The importance of investigating PPI networks in the context of mouse prompted us to develop the Mouse Integrated Protein–Protein Interaction rEference (MIPPIE). MIPPIE inherits a robust infr…

Computer scienceved/biology.organism_classification_rank.speciesprotein-protein interactionsCellular homeostasisContext (language use)Computational biologycomputer.software_genreGeneral Biochemistry Genetics and Molecular BiologyProtein–protein interaction03 medical and health sciencesMice0302 clinical medicineProtein Interaction MappingMus musculusAnimalsProtein Interaction MapsModel organismDatabases Proteinmousedatabase030304 developmental biology0303 health sciencesved/biologyComputational BiologyComplex networkprotein interaction networkOriginal ArticleWeb serviceUser interfaceGeneral Agricultural and Biological SciencesProtein networkcomputer030217 neurology & neurosurgerySoftwareInformation SystemsDatabase: The Journal of Biological Databases and Curation
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Changes in the proteome of sea urchin Paracentrotus lividus coelomocytes in response to LPS injection into the body cavity.

2020

Background The immune system of echinoderm sea urchins is characterised by a high degree of complexity that is not completely understood. The Mediterranean sea urchin Paracentrotus lividus coelomocytes mediate immune responses through phagocytosis, encapsulation of non-self particles, and production of diffusible factors including antimicrobial molecules. Details of these processes, and molecular pathways driving these mechanisms, are still to be fully elucidated. Principal findings In the present study we treated the sea urchin P. lividus with the bacterial lipopolysaccharide (LPS) and collected coelomocytes at different time-points (1, 3, 6 and 24 hours). We have shown, using label-free q…

ProteomicsLipopolysaccharidesProteomeHydrolasesBiochemistry0302 clinical medicineParacentrotusMedicine and Health SciencesSea urchinCoelomocyteImmune ResponseCytoskeleton0303 health sciencesPhagocytesMultidisciplinarybiologyChemistryQREukaryotaAnimal ModelsCell biologyEnzymesEchinodermExperimental Organism Systems030220 oncology & carcinogenesisProteomeParacentrotusMedicineProtein Interaction NetworksCellular Structures and OrganellesNetwork AnalysisResearch ArticleEchinodermsComputer and Information Sciencesfood.ingredientScienceImmunologyLipopolysaccharideEndocytosisResearch and Analysis MethodsParacentrotus lividusLymphatic System03 medical and health sciencesfoodPhagocytosisbiology.animalHeat shock proteinDNA-binding proteinsAnimalsProtein Interactions030304 developmental biologyPhagocytosiAnimalOrganismsBiology and Life SciencesProteinsCell Biologybiology.organism_classificationInvertebratesCytoskeletal ProteinsGuanosine TriphosphataseProtein-Protein InteractionsPhagocyteImmune SystemSea UrchinsAnimal StudiesEnzymologyParacentrotuPLoS ONE
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Identification of Key miRNAs in Regulation of PPI Networks

2020

In this paper, we explore the interaction between miRNA and deregulated proteins in some pathologies. Assuming that miRNA can influence mRNA and consequently the proteins regulation, we explore this connection by using an interaction matrix derived from miRNA-target data and PPI network interactions. From this interaction matrix and the set of deregulated proteins, we search for the miRNA subset that influences the deregulated proteins with a minimum impact on the not deregulated ones. This regulation problem can be formulated as a complex optimization problem. In this paper, we have tried to solve it by using the Genetic Algorithm Heuristic. As the main result, we have found a set of miRNA…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazioni0301 basic medicineOptimization problemSettore INF/01 - InformaticaHeuristic (computer science)Computer sciencemiRNA expression profiles Protein-protein interaction networks Genetic algorithmsComputational biologyGenetic algorithmsmiRNA expression profilesProtein-protein interaction networks03 medical and health sciencesIdentification (information)030104 developmental biologyPpi networkGenetic algorithmmicroRNAKey (cryptography)Set (psychology)
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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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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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Restricted Neighborhood search clustering revisited: an evolutionary computation perspective

2013

clustering analysisprotein-protein interaction network
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