Search results for "Protein-Protein interaction network"

showing 9 items of 9 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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Identifying Early Warning Signals for the Sudden Transition from Mild to Severe Tobacco Etch Disease by Dynamical Network Biomarkers

2019

This article belongs to the Special Issue The Complexity of the Potyviral Interaction Network.

0106 biological sciences0301 basic medicineComplex systemsSystems biologyPotyvirusDiseaseBiologytobacco etch virusSeverity of Illness Index01 natural sciencesArticlePlant VirusesTranscriptomeViral Proteins03 medical and health sciencesPlant-virus interactionpotyvirusGene Expression Regulation PlantVirologyProtein Interaction MappingTobaccoGene Regulatory NetworksProtein Interaction Mapscomplex systemsGenePlant DiseasesGeneticsTransition (genetics)Tobacco etch virusGene Expression Profilingsystems biologyDNBBiotic stressresponse to infectionbiology.organism_classificationplant-virus interactionTobacco etch virusphase transitionsprotein-protein interaction networks030104 developmental biologyInfectious DiseasesPhase transitionsHost-Pathogen InteractionsMutationBiomarker (medicine)BiomarkersSignal Transduction010606 plant biology & botanyViruses
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Study of the role of the CDC48 chaperone protein in plant immunity

2018

The chaperone protein CDC48 (Cell division cycle 48) is a major regulator of the quality control of proteins and is involved in various cellular processes in animals and yeast. In contrast, the role of CDC48 in plants is poorly known. In the present work, we investigated the function of CDC48 in plant immunity thanks to the cryptogein/tobacco biological model, cryptogein being produced by the oomycete phytophthora cryptogea.Three strategies were carried out. First, the dynamic of accumulation CDC48 together with intracellular events inherent to the immune response were analyzed in both wild-type and CDC48 overexpressing tobacco cells (CDC48-TAP line). Second, a list if CDC48 partners was es…

Cdc48Protein-Protein interaction networkImmunité des plantes[SDV.SA] Life Sciences [q-bio]/Agricultural sciencesPlant immunityRéseau d'interaction protéine-ProtéineBiochimieBiochemistryCapx
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Identifying Host Molecular Features Strongly Linked With Responses to Huanglongbing Disease in Citrus Leaves

2018

© 2018 Balan, Ibáñez, Dandekar, Caruso and Martinelli. A bioinformatic analysis of previously published RNA-Seq studies on Huanglongbing (HLB) response and tolerance in leaf tissues was performed. The aim was to identify genes commonly modulated between studies and genes, pathways and gene set categories strongly associated with this devastating Citrus disease. Bioinformatic analysis of expression data of four datasets present in NCBI provided 46–68 million reads with an alignment percentage of 72.95–86.76%. Only 16 HLB-regulated genes were commonly identified between the three leaf datasets. Among them were key genes encoding proteins involved in cell wall modification such as CESA8, pecti…

0301 basic medicineHuanglongbing HLB citrus protein–protein interaction network transcriptomics RNA-SeqPlant BiologyHuanglongbingRNA-SeqPlant Sciencelcsh:Plant cultureBiologycitrusTranscriptometranscriptomics03 medical and health sciencesExpansinSettore AGR/07 - Genetica AgrariaHeat shock proteinGenetics2.1 Biological and endogenous factorslcsh:SB1-1110RNA-SeqAetiologyGeneTranscription factorOriginal Research2. Zero hungerGeneticsHuanglongbing; HLB; citrus; protein–protein interaction network; transcriptomics; RNA-SeqPectinesteraseSettore AGR/03 - Arboricoltura Generale E Coltivazioni ArboreeHLB030104 developmental biologyPectate lyaseprotein–protein interaction networkprotein-protein interaction networkBiotechnologyFrontiers in Plant Science
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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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A Coclustering Approach for Mining Large Protein-Protein Interaction Networks

2012

Several approaches have been presented in the literature to cluster Protein-Protein Interaction (PPI) networks. They can be grouped in two main categories: those allowing a protein to participate in different clusters and those generating only nonoverlapping clusters. In both cases, a challenging task is to find a suitable compromise between the biological relevance of the results and a comprehensive coverage of the analyzed networks. Indeed, methods returning high accurate results are often able to cover only small parts of the input PPI network, especially when low-characterized networks are considered. We present a coclustering-based technique able to generate both overlapping and nonove…

Biologycomputer.software_genreBioinformatics network analysis co-clusteringTask (project management)Set (abstract data type)Protein Interaction MappingGeneticsCluster (physics)Cluster AnalysisHumansRelevance (information retrieval)Protein Interaction MapsCluster analysisStructure (mathematical logic)Applied MathematicsProteinsprotein-protein interaction networksbiological networksComputingMethodologies_PATTERNRECOGNITIONCover (topology)Co-clusteringData miningcomputerAlgorithmsBiological networkBiotechnologyIEEE/ACM Transactions on Computational Biology and Bioinformatics
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Restricted Neighborhood search clustering revisited: an evolutionary computation perspective

2013

clustering analysisprotein-protein interaction network
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Etude du rôle de la protéine CDC48 dans l'immunité des plantes

2018

The chaperone protein CDC48 (Cell division cycle 48) is a major regulator of the quality control of proteins and is involved in various cellular processes in animals and yeast. In contrast, the role of CDC48 in plants is poorly known. In the present work, we investigated the function of CDC48 in plant immunity thanks to the cryptogein/tobacco biological model, cryptogein being produced by the oomycete phytophthora cryptogea.Three strategies were carried out. First, the dynamic of accumulation CDC48 together with intracellular events inherent to the immune response were analyzed in both wild-type and CDC48 overexpressing tobacco cells (CDC48-TAP line). Second, a list if CDC48 partners was es…

Cdc48[SDV.SA]Life Sciences [q-bio]/Agricultural sciencesProtein-Protein interaction networkImmunité des plantesPlant immunityRéseau d'interaction protéine-ProtéineBiochimieBiochemistryCapx
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Gaining Insight into Exclusive and Common Transcriptomic Features Linked with Biotic Stress Responses in Malus

2017

Identifying key information in transcriptomic data is very important, especially when the “omic” study deals with plant responses to stresses in field conditions where a high number of variables and disturbing factors may affect the analysis. In this meta-analysis we collected 12 transcriptomic works in Malus in order to identify which key genes, proteins, gene categories are involved in general plant pathological conditions and those features linked with exclusive biotic stress responses. Those genes that are only related with molecular responses to pathogen attacks and those linked with other plant physiological processes were identified. A pipeline composed by pathway and gene set enrich…

0106 biological sciences0301 basic medicineMalusPlant ScienceComputational biologylcsh:Plant cultureErwinia01 natural sciencesTranscriptometranscriptomics03 medical and health sciencesSettore AGR/07 - Genetica AgrariaHeat shock proteinBotanylcsh:SB1-1110GeneTranscription factorOriginal Researchbiologybiotic stresses; Malus; meta-analysis; protein-protein interaction network; transcriptomicsfood and beveragesBiotic stressbiotic stressesbiology.organism_classificationmeta-analysisCrosstalk (biology)030104 developmental biologyMalusbiotic stresses Malus meta-analysis protein-protein interaction network transcriptomicsprotein-protein interaction network010606 plant biology & botanyFrontiers in Plant Science
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