Search results for "Secondary"

showing 10 items of 1765 documents

Uniform ergodicity of the iterated conditional SMC and geometric ergodicity of particle Gibbs samplers

2018

We establish quantitative bounds for rates of convergence and asymptotic variances for iterated conditional sequential Monte Carlo (i-cSMC) Markov chains and associated particle Gibbs samplers. Our main findings are that the essential boundedness of potential functions associated with the i-cSMC algorithm provide necessary and sufficient conditions for the uniform ergodicity of the i-cSMC Markov chain, as well as quantitative bounds on its (uniformly geometric) rate of convergence. Furthermore, we show that the i-cSMC Markov chain cannot even be geometrically ergodic if this essential boundedness does not hold in many applications of interest. Our sufficiency and quantitative bounds rely on…

Statistics and ProbabilityMetropoliswithin-Gibbsgeometric ergodicity01 natural sciencesCombinatorics010104 statistics & probabilitysymbols.namesakeFOS: MathematicsMetropolis-within-GibbsApplied mathematicsErgodic theory0101 mathematicsGibbs measureQAMathematics65C40 (Primary) 60J05 65C05 (Secondary)Particle GibbsMarkov chainGeometric ergodicity010102 general mathematicsErgodicityuniform ergodicityProbability (math.PR)iterated conditional sequential Monte CarloMarkov chain Monte CarloIterated conditional sequential Monte CarloRate of convergencesymbolsUniform ergodicityparticle GibbsParticle filterMathematics - ProbabilityGibbs sampling
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Assessment of the probabilities for evolutionary structural changes in protein folds.

2007

Abstract Motivation: The evolution of protein sequences can be described by a stepwise process, where each step involves changes of a few amino acids. In a similar manner, the evolution of protein folds can be at least partially described by an analogous process, where each step involves comparatively simple changes affecting few secondary structure elements. A number of such evolution steps, justified by biologically confirmed examples, have previously been proposed by other researchers. However, unlike the situation with sequences, as far as we know there have been no attempts to estimate the comparative probabilities for different kinds of such structural changes. Results: We have tried …

Statistics and ProbabilityModels MolecularProtein FoldingProtein domainStructural alignmentBiologyBiochemistrySet (abstract data type)Evolution MolecularProtein structureSimilarity (network science)Sequence Analysis ProteinComputer SimulationMolecular BiologyProtein secondary structureConserved SequenceSequenceModels GeneticSequence Homology Amino AcidProteinsStructural Classification of Proteins databaseComputer Science ApplicationsComputational MathematicsComputational Theory and MathematicsModels ChemicalData Interpretation Statisticalsense organsAlgorithmSequence AlignmentBioinformatics (Oxford, England)
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A Hooke's law-based approach to protein folding rate

2014

Kinetics is a key aspect of the renowned protein folding problem. Here, we propose a comprehensive approach to folding kinetics where a polypeptide chain is assumed to behave as an elastic material described by the Hooke[U+05F3]s law. A novel parameter called elastic-folding constant results from our model and is suggested to distinguish between protein with two-state and multi-state folding pathways. A contact-free descriptor, named folding degree, is introduced as a suitable structural feature to study protein-folding kinetics. This approach generalizes the observed correlations between varieties of structural descriptors with the folding rate constant. Additionally several comparisons am…

Statistics and ProbabilityPROTDCALStructure analysisGeneral Biochemistry Genetics and Molecular BiologyArticleProtein Structure SecondaryAmino acid sequencesymbols.namesakeProtein structureEnergeticsFeature (machine learning)Statistical physicsProtein foldingTheoretical modelProtein secondary structureReaction kineticsGeneral Immunology and MicrobiologyChemical modelApplied MathematicsProteinHooke's lawModelingProteinsGeneral MedicineDNAComputer simulationElasticityFolding degreeFolding (chemistry)ChemistryKineticsModels ChemicalModeling and SimulationPeptidesymbolsProtein structureElastic folding constantPhysical chemistryProtein secondary structureThermodynamicsProtein foldingDownhill foldingPolypeptideGeneral Agricultural and Biological SciencesConstant (mathematics)Folding kinetics
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Lévy–Khintchine decompositions for generating functionals on algebras associated to universal compact quantum groups

2018

We study the first and second cohomology groups of the $^*$-algebras of the universal unitary and orthogonal quantum groups $U_F^+$ and $O_F^+$. This provides valuable information for constructing and classifying L\'evy processes on these quantum groups, as pointed out by Sch\"urmann. In the case when all eigenvalues of $F^*F$ are distinct, we show that these $^*$-algebras have the properties (GC), (NC), and (LK) introduced by Sch\"urmann and studied recently by Franz, Gerhold and Thom. In the degenerate case $F=I_d$, we show that they do not have any of these properties. We also compute the second cohomology group of $U_d^+$ with trivial coefficients -- $H^2(U_d^+,{}_\epsilon\Bbb{C}_\epsil…

Statistics and ProbabilityPure mathematicsQuantum groupComputer Science::Information RetrievalApplied Mathematics010102 general mathematicsAstrophysics::Instrumentation and Methods for AstrophysicsComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)Statistical and Nonlinear PhysicsHopf algebra[MATH.MATH-FA]Mathematics [math]/Functional Analysis [math.FA]01 natural sciencesUnitary stateCohomologyMathematics::K-Theory and HomologyMathematics - Quantum Algebra0103 physical sciencesComputer Science::General Literature16T20 (Primary) 16T05 (Secondary)010307 mathematical physics0101 mathematicsQuantumMathematical PhysicsComputingMilieux_MISCELLANEOUSMathematics
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SKINK: a web server for string kernel based kink prediction in α-helices

2014

Abstract Motivation: The reasons for distortions from optimal α-helical geometry are widely unknown, but their influences on structural changes of proteins are significant. Hence, their prediction is a crucial problem in structural bioinformatics. Here, we present a new web server, called SKINK, for string kernel based kink prediction. Extending our previous study, we also annotate the most probable kink position in a given α-helix sequence. Availability and implementation: The SKINK web server is freely accessible at http://biows-inf.zdv.uni-mainz.de/skink. Moreover, SKINK is a module of the BALL software, also freely available at www.ballview.org. Contact:  benny.kneissl@roche.com

Statistics and ProbabilitySkinkWeb serverTheoretical computer scienceComputer scienceReal-time computingcomputer.software_genreBiochemistryProtein Structure SecondaryStructural bioinformaticsSoftwareSequence Analysis ProteinString kernelPosition (vector)Ball (mathematics)Molecular BiologyInternetSequencebiologybusiness.industryComputational BiologyProteinsbiology.organism_classificationComputer Science ApplicationsComputational MathematicsComputational Theory and MathematicsbusinesscomputerSoftwareBioinformatics
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Putative identification of an amphipathic alpha-helical sequence in hemolysin of Escherichia coli (HlyA) involved in transmembrane pore formation.

2008

Abstract Escherichia coli hemolysin is a pore-forming protein belonging to the RTX toxin family. Cysteine scanning mutagenesis was performed to characterize the putative pore-forming domain of the molecule. A single cysteine residue was introduced at 48 positions within the sequence spanning residues 170–400 and labeled with the polarity-sensitive dye badan. Spectrofluorimetric analyses indicated that several amino acids in this domain are inserted into the lipid bilayer during pore formation. An amphipathic α-helix spanning residues 272–298 was identified that may line the aqueous pore. The importance of this sequence was highlighted by the introduction of two prolines at positions 284 and…

StereochemistryClinical BiochemistryAmino Acid MotifsPorinsmedicine.disease_causeBiochemistryProtein Structure SecondaryHemolysin ProteinsCell Line TumormedicineAnimalsHumansLipid bilayerMolecular BiologyEscherichia colichemistry.chemical_classificationEscherichia coli ProteinsRTX toxinMutagenesisErythrocyte MembraneHemolysinTransmembrane proteinAmino acidchemistryMutant ProteinsRabbitsCysteineBiological chemistry
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Energy interactions in amyloid-like fibrils from NNQQNY.

2014

We use large-scale MP2 calculations to analyze the interactions appearing in amyloid fibers, which are difficult to determine experimentally. To this end, dimers and trimers of the hexapeptide NNQQNY from the yeast prion-like protein Sup35 were considered as model systems. We studied the energy interactions present in the three levels of organization in which the formation of amyloid fibrils is structured. The structural changes in the hydrogen bonds were studied too. It was found that the most energetic process is the formation of the β-sheet, which is equally due to both hydrogen bonds and van der Waals interactions. The aromatic rings help stabilize these aggregates through stacking of t…

Steric effectschemistry.chemical_classificationAmyloidHydrogen bondChemistryStereochemistryStatic ElectricityStackingGeneral Physics and AstronomyAromaticityHydrogen BondingRing (chemistry)London dispersion forceProtein Structure SecondaryPolymerizationsymbols.namesakeCrystallographysymbolsNon-covalent interactionsThermodynamicsAmino Acid SequencePhysical and Theoretical Chemistryvan der Waals forceDimerizationPhysical chemistry chemical physics : PCCP
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A strategic needs perspective on operations outsourcing and other inter-firm relationships

2013

Abstract This paper considers two issues: the formation of inter-firm relationships, and the choice of governance form. These have been widely investigated in both the strategic management and operations management fields. This paper contributes to the literature in three ways. First, we address why firms enter inter-firm relationships by hypothesizing that managers enter them to pursue three strategic needs, that is: efficiency/effectiveness, knowledge/learning, and global market access. Our first contribution evidences the relationship between the above strategic needs and a number of operational objectives that managers normally pursue in an inter-firm relationship. Second, we hypothesiz…

Strategic planningEconomics and EconometricsKnowledge managementStrategic thinkingbusiness.industryStrategic alignmentCorporate governanceManagement Science and Operations ResearchInter-firm relationships Inter-firm relationship formation Governance mode choice Secondary data analysisSettore ING-IND/35 - Ingegneria Economico-GestionaleGeneral Business Management and AccountingIndustrial and Manufacturing EngineeringStrategic sourcingStrategic controlEconomicsStrategic managementbusinessStrategic financial management
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‘Sociability before individuality’: lesson structure in lower secondary classrooms

2018

This paper contributes to the research field of classroom research by offering an empirical analysis of classroom instruction on the level of lesson structure. The research questions are: What are ...

Structure (mathematical logic)Secondary educationEducation theoryTeaching methodField (Bourdieu)ComputingMilieux_COMPUTERSANDEDUCATIONMathematics educationHidden curriculumResearch questionsPsychologyEducation
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Quasiadditivity of Variational Capacity

2013

We study the quasiadditivity property (a version of superadditivity with a multiplicative constant) of variational capacity in metric spaces with respect to Whitney type covers. We characterize this property in terms of a Mazya type capacity condition, and also explore the close relation between quasiadditivity and Hardy's inequality.

SuperadditivityPure mathematicsProperty (philosophy)Relation (database)Inequalitymetrijärjestelmämedia_common.quotation_subjectmetric spaceHardy's inequalitykapasiteettiType (model theory)Whitney coverFunctional Analysis (math.FA)Mathematics - Functional AnalysisMetric spacePrimary 31E05 31C45 Secondary 46E35 26D15FOS: MathematicsMultiplicative constantAnalysisvariational capacityMathematicsmedia_commonPotential Analysis
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