Search results for "model."

showing 10 items of 23664 documents

The Drosophila Larval Locomotor Circuit Provides a Model to Understand Neural Circuit Development and Function

2021

It is difficult to answer important questions in neuroscience, such as: “how do neural circuits generate behaviour?,” because research is limited by the complexity and inaccessibility of the mammalian nervous system. Invertebrate model organisms offer simpler networks that are easier to manipulate. As a result, much of what we know about the development of neural circuits is derived from work in crustaceans, nematode worms and arguably most of all, the fruit fly, Drosophila melanogaster. This review aims to demonstrate the utility of the Drosophila larval locomotor network as a model circuit, to those who do not usually use the fly in their work. This utility is explored first by discussion…

0301 basic medicineComputer scienceCognitive Neurosciencemedia_common.quotation_subjectved/biology.organism_classification_rank.speciesNeuroscience (miscellaneous)Neurosciences. Biological psychiatry. Neuropsychiatry03 medical and health sciencesCellular and Molecular Neuroscience0302 clinical medicineDevelopment (topology)Biological neural networkModel organismFunction (engineering)DrosophilaElectronic circuitmedia_commonbiologyved/biologyvariabilityfungiconnectomebiology.organism_classificationSensory Systemscritical periodlocomotion030104 developmental biologyConnectomeDrosophilaDrosophila melanogasterNeurosciencecircuit030217 neurology & neurosurgeryRC321-571Frontiers in Neural Circuits
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Network Analysis: Ten Years Shining Light on Host–Parasite Interactions

2020

Biological interactions are key drivers of ecological and evolutionary processes. The complexity of such interactions hinders our understanding of ecological systems and our ability to make effective predictions in changing environments. However, network analysis allows us to better tackle the complexity of ecosystems because it extracts the properties of an ecological system according to the number and distribution of links among interacting entities. The number of studies using network analysis to solve ecological and evolutionary questions in parasitology has increased over the past decade. Here, we synthesise the contribution of network analysis toward disentangling host-parasite proces…

0301 basic medicineComputer scienceEcology (disciplines)030231 tropical medicineEcological systems theoryModels BiologicalData scienceHost-Parasite Interactions03 medical and health sciences030104 developmental biology0302 clinical medicineInfectious DiseasesAnimalsParasitologyHost (network)Social Network AnalysisNetwork analysisTrends in Parasitology
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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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2019

As rats learn to search for multiple sources of food or water in a complex environment, they generate increasingly efficient trajectories between reward sites. Such spatial navigation capacity involves the replay of hippocampal place-cells during awake states, generating small sequences of spatially related place-cell activity that we call "snippets". These snippets occur primarily during sharp-wave-ripples (SWRs). Here we focus on the role of such replay events, as the animal is learning a traveling salesperson task (TSP) across multiple trials. We hypothesize that snippet replay generates synthetic data that can substantially expand and restructure the experience available and make learni…

0301 basic medicineComputer sciencePlace cellMachine learningcomputer.software_genreSpatial memorySynthetic data03 medical and health sciencesCellular and Molecular Neuroscience0302 clinical medicineModels of neural computationGeneticsReinforcement learningMolecular BiologyEcology Evolution Behavior and SystematicsEcologybusiness.industryReservoir computingSnippet030104 developmental biologyComputational Theory and MathematicsModeling and SimulationSequence learningArtificial intelligencebusinesscomputer030217 neurology & neurosurgeryPLOS Computational Biology
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SpCLUST: Towards a fast and reliable clustering for potentially divergent biological sequences

2019

International audience; This paper presents SpCLUST, a new C++ package that takes a list of sequences as input, aligns them with MUSCLE, computes their similarity matrix in parallel and then performs the clustering. SpCLUST extends a previously released software by integrating additional scoring matrices which enables it to cover the clustering of amino-acid sequences. The similarity matrix is now computed in parallel according to the master/slave distributed architecture, using MPI. Performance analysis, realized on two real datasets of 100 nucleotide sequences and 1049 amino-acids ones, show that the resulting library substantially outperforms the original Python package. The proposed pac…

0301 basic medicineComputer science[INFO.INFO-SE] Computer Science [cs]/Software Engineering [cs.SE]Health Informatics[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE][INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing03 medical and health sciences[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]0302 clinical medicineSoftware[INFO.INFO-ET] Computer Science [cs]/Emerging Technologies [cs.ET][INFO.INFO-DC] Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]Cluster AnalysisHumansCluster analysis[INFO.INFO-CR] Computer Science [cs]/Cryptography and Security [cs.CR]computer.programming_languagebusiness.industry[INFO.INFO-IU] Computer Science [cs]/Ubiquitous ComputingSimilarity matrixPattern recognitionDNAGenomicsSequence Analysis DNAPython (programming language)Mixture model[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationSpectral clusteringComputer Science Applications030104 developmental biologyComputingMethodologies_PATTERNRECOGNITION[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA][INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET][INFO.INFO-MA] Computer Science [cs]/Multiagent Systems [cs.MA][INFO.INFO-MO] Computer Science [cs]/Modeling and SimulationArtificial intelligence[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]businesscomputerAlgorithmsSoftware030217 neurology & neurosurgery
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Molecular basis of SARS-CoV-2 infection and rational design of potential antiviral agents: Modeling and simulation approaches

2020

International audience; The emergence in late 2019 of the coronavirus SARS-CoV-2 has resulted in the breakthrough of the COVID-19 pandemic that is presently affecting a growing number of countries. The development of the pandemic has also prompted an unprecedented effort of the scientific community to understand the molecular bases of the virus infection and to propose rational drug design strategies able to alleviate the serious COVID-19 morbidity. In this context, a strong synergy between the structural biophysics and molecular modeling and simulation communities has emerged, resolving at the atomistic level the crucial protein apparatus of the virus and revealing the dynamic aspects of k…

0301 basic medicineComputer sciencedrug designIn silicoPneumonia Viralmembrane fusioncoronavirusReviewsDrug designComputational biologyMolecular Dynamics SimulationViral Nonstructural Proteinsmedicine.disease_causespike proteinAntiviral AgentsMolecular Docking SimulationBiochemistry[SPI.AUTO]Engineering Sciences [physics]/AutomaticModeling and simulationBetacoronavirus03 medical and health sciencesPandemicmedicineHumansstructural biophysicsPandemicsCoronavirus030102 biochemistry & molecular biologySARS-CoV-2free-energy methodsmolecular modelingRational designCOVID-19General ChemistryVirus InternalizationSARS unique domainmolecular dynamics3. Good healthMolecular Docking Simulation030104 developmental biologyDocking (molecular)Settore CHIM/03 - Chimica Generale E InorganicaSpike Glycoprotein CoronavirusdockingproteasesCoronavirus Infections
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Remarks on GRN-type systems

2020

Systems of ordinary differential equations that appear in gene regulatory networks theory are considered. We are focused on asymptotical behavior of solutions. There are stable critical points as well as attractive periodic solutions in two-dimensional and three-dimensional systems. Instead of considering multiple parameters (10 in a two-dimensional system) we focus on typical behaviors of nullclines. Conclusions about possible attractors are made.

0301 basic medicineComputer sciencelcsh:RGeneral EngineeringGene regulatory networkattractorslcsh:MedicineType (model theory)Nullcline03 medical and health sciences030104 developmental biology0302 clinical medicineordinary differential equations030220 oncology & carcinogenesisOrdinary differential equationAttractorgenetic regulatory networksApplied mathematicslcsh:Qlcsh:ScienceFocus (optics)4open
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Analysis of Microstructure of the Cardiac Conduction System Based on Three-Dimensional Confocal Microscopy

2016

The specialised conducting tissues present in the ventricles are responsible for the fast distribution of the electrical impulse from the atrio-ventricular node to regions in the subendocardial myocardium. Characterisation of anatomical features of the specialised conducting tissues in the ventricles is highly challenging, in particular its most distal section, which is connected to the working myocardium via Purkinje-myocardial junctions. The goal of this work is to characterise the architecture of the distal section of the Purkinje network by differentiating Purkinje cells from surrounding tissue, performing a segmentation of Purkinje fibres at cellular scale, and mathematically describin…

0301 basic medicineConfocal Microscopylcsh:Medicine030204 cardiovascular system & hematologylaw.inventionPurkinje Cells0302 clinical medicineAnimal CellslawMedicine and Health SciencesMyocyteSegmentationlcsh:ScienceMammalsMicroscopyMicroscopy ConfocalMultidisciplinaryLight MicroscopyHeartAnimal ModelsAnatomyVertebratesRabbitsCellular TypesAnatomyElectrical conduction system of the heartNetwork AnalysisResearch ArticleComputer and Information SciencesCell typeCardiac VentriclesHeart VentriclesMuscle TissueBiologyResearch and Analysis MethodsImaging data03 medical and health sciencesImaging Three-DimensionalModel OrganismsHeart Conduction SystemConfocal microscopyAnimalsComplex network analysisMuscle CellsMyocardiumlcsh:ROrganismsBiology and Life SciencesCell BiologyWheat germ agglutininBiological Tissue030104 developmental biologyAmniotesCardiovascular Anatomylcsh:QEndocardiumBiomedical engineeringPLOS ONE
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The Binding Mechanism of Epolactaene to Hsp60 Unveiled by in Silico Modelling

2016

Molecular Dynamics (MD) simulations and DFT/MM calculations were performed in order to rationalize available experimental results and to provide structural details on the binding mechanism of Epolactaene (EPO) to the 60 KDa Heat Shock Protein (Hsp60). The available crystal structure of Hsp60 represents the last step of the chaperone folding cycle, while the Hsp60-EPO complex was obtained by using a homology model of Hsp60, in order to simulate a state related to the beginning of the folding cycle (Rs1). The results of MD simulations point out that EPO shows the highest binding affinity for the empty ATP binding site. The presence of ATP opens a channel that allows the entrance of both EPO d…

0301 basic medicineConformational changeanimal structuresStereochemistryProteins · Molecular Dynamics · Density Functional Theory · Heat Shock Proteins · Epolactaene010402 general chemistry01 natural sciences03 medical and health sciencesMolecular dynamicschemistry.chemical_compoundHeat shock proteinHomology modelingBinding siteEpolactaenebiologyChemistrySettore BIO/16 - Anatomia UmanafungiGeneral ChemistrySettore CHIM/06 - Chimica Organica0104 chemical sciencesCrystallography030104 developmental biologyCovalent bondSettore CHIM/03 - Chimica Generale E InorganicaChaperone (protein)biology.protein
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Improving risk assessments in conservation ecology

2019

Conservation efforts and management decisions on the living environment of our planet often rely on the results from statistical models. Yet, these models are imperfect and quantification of risk associated with the estimate of management-relevant quantities becomes crucial in providing robust advice. Here we demonstrate that estimates of risk themselves could be substantially biased but by combining data fitting with an extensive simulation–estimation procedure, one can back-calculate the correct values. We apply the method to 627 time series of population abundance across four taxa using the Gompertz state-space model as an example. We find that the risk of large bias in population status…

0301 basic medicineConservation of Natural ResourcesComputer scienceLiving environmentScienceGompertz functionPopulation DynamicsGeneral Physics and Astronomy02 engineering and technologyRisk AssessmentGeneral Biochemistry Genetics and Molecular BiologyArticle03 medical and health sciencesEconometricsAnimalsHumanslcsh:ScienceEcological modellingPopulation DensityMultidisciplinaryModels StatisticalEcologyConservation biologyQStatistical modelGeneral ChemistryVDP::Matematikk og Naturvitenskap: 400Biodiversity021001 nanoscience & nanotechnologyPopulation abundancePopulation variabilityEnvironmental sciences030104 developmental biologyDensity dependencelcsh:QConservation ecology0210 nano-technologyRisk assessmentNature Communications
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