Search results for "Metabolic models"

showing 4 items of 4 documents

Modelling the metabolic shift of polyphosphate-accumulating organisms

2014

Enhanced biological phosphorus removal (EBPR) is one of the most important methods of phosphorus removal in municipal wastewater treatment plants, having been described by different modelling approaches. In this process, the PAOs (polyphosphate accumulating organisms) and GAOs (glycogen accumulating organisms) compete for volatile fatty acids uptake under anaerobic conditions. Recent studies have revealed that the metabolic pathways used by PAOs in order to obtain the energy and the reducing power needed for polyhydroxyalkanoates synthesis could change depending on the amount of polyphosphate stored in the cells. The model presented in this paper extends beyond previously developed metaboli…

Environmental Engineering0207 environmental engineeringchemistry.chemical_element02 engineering and technology010501 environmental sciencesBiologyModels Biological01 natural sciencesPolyphosphate accumulating metabolism (PAM)Polyphosphate accumulating organism (PAO)Polyhydroxyalkanoateschemistry.chemical_compoundBioreactorsPolyphosphatesEnhanced biological phosphorus removal (EBPR)AnaerobiosisBiomass020701 environmental engineeringGlycogen accumulating metabolism (GAM)Waste Management and DisposalTECNOLOGIA DEL MEDIO AMBIENTE0105 earth and related environmental sciencesWater Science and TechnologyCivil and Structural EngineeringBacteriaEcological ModelingPolyphosphatePhosphorusPollutionAerobiosis6. Clean waterPolyphosphate-accumulating organismsMetabolic pathwayEnhanced biological phosphorus removalActivated sludgechemistryBiochemistryPolyphosphate (poly-P)Metabolic modelsAnaerobic exerciseGlycogenMetabolic Networks and Pathways
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Modeling in Microbial Ecology

2014

SPE IPM; International audience; The bases and the principles of modeling in microbial community ecology and biogeochemistry are presented and discussed. Several examples are given. Among them, the fermentation process is largely developed, thus demonstrating how the model allows determining the microbial population growth rate, the death rate, and the maintenance rate. More generally, these models have been used to increase the development of bioenergetic formulations which are presently used in biogeochemical models (Monod, Droop, DEB models). Different types of interactions (competition, predation, and virus–bacteria) are also developed. For each topic, a complete view of the models used…

Population dynamicsComputer science[SDV]Life Sciences [q-bio][SDE.MCG]Environmental Sciences/Global ChangesEcology (disciplines)media_common.quotation_subjectBiotic interactionsFermenter modelsChemostatCompetition (biology)Microbial Ecology03 medical and health sciences[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/EcosystemsMicrobial ecology[SDV.BV]Life Sciences [q-bio]/Vegetal Biology030304 developmental biologymedia_common0303 health sciences030306 microbiologyBiogeochemistryBiofilm modelsChemostatMicrobial population biologyMetabolic models[SDE]Environmental SciencesBiochemical engineering[SDE.BE]Environmental Sciences/Biodiversity and Ecology
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Sustainable metabolic engineering for sustainability optimisation of industrial biotechnology

2021

Industrial biotechnology represents one of the most innovating and labour-productive industries with an estimated stable economic growth, thus giving space for improvement of the existing and setting up new value chains. In addition, biotechnology has clear environmental advantages over the chemical industry. Still, biotechnology’s environmental contribution is sometimes valued with controversy and societal aspects are frequently ignored. Environmental, economic and societal sustainability of various bioprocesses becomes increasingly important due to the growing understanding about complex and interlinked consequences of different human activities. Neglecting the sustainability issues in th…

Mathematical modellingProcess (engineering)business.industryBiophysicsReview ArticleChemical industryIndustrial biotechnologyEnvironmental economicsSustainability optimisationBiochemistrySustainable metabolic engineeringComputer Science ApplicationsMetabolic engineeringLead (geology)Structural BiologySustainabilityGeneticsProduction (economics)RankingBusinessGenome-scale metabolic modelsTP248.13-248.65OrganismBiotechnologyComputational and Structural Biotechnology Journal
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EFMviz

2020

Elementary Flux Modes (EFMs) are a tool for constraint-based modeling and metabolic network analysis. However, systematic and automated visualization of EFMs, capable of integrating various data types is still a challenge. In this study, we developed an extension for the widely adopted COBRA Toolbox, EFMviz, for analysis and graphical visualization of EFMs as networks of reactions, metabolites and genes. The analysis workflow offers a platform for EFM visualization to improve EFM interpretability by connecting COBRA toolbox with the network analysis and visualization software Cytoscape. The biological applicability of EFMviz is demonstrated in two use cases on medium (Escherichia coli, iAF1…

0301 basic medicineComputer scienceEndocrinology Diabetes and Metabolismgenome-scale metabolic modelslcsh:QR1-502computer.software_genreBiochemistryData typelcsh:MicrobiologySBML03 medical and health sciences0302 clinical medicineData visualizationGraph drawingProtocolACETATEdata visualizationCELLSBMLCYTOSCAPEMolecular BiologyGENE-EXPRESSIONSoftware visualizationbusiness.industryPATHWAY ANALYSISnetwork visualizationelementary flux modesToolboxVisualization030104 developmental biologyWorkflowDEFINITIONESCHERICHIA-COLIGROWTHData miningbusinesscomputerSET030217 neurology & neurosurgeryMetabolites
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