Simplification of Mathematical Models of Chemical Reaction Systems.
about
Detection of dynamic spatiotemporal response to periodic chemical stimulation in a Xenopus embryonic tissueAutomatic generation of predictive dynamic models reveals nuclear phosphorylation as the key Msn2 control mechanism.Top-down analysis of temporal hierarchy in biochemical reaction networksThe carbon assimilation network in Escherichia coli is densely connected and largely sign-determined by directions of metabolic fluxesGraphical approach to model reduction for nonlinear biochemical networks.Combining the 'bottom up' and 'top down' approaches in pharmacokinetic modelling: fitting PBPK models to observed clinical dataScale reduction of a systems coagulation model with an application to modeling pharmacokinetic-pharmacodynamic data.Reduction of a Whole-Body Physiologically Based Pharmacokinetic Model to Stabilise the Bayesian Analysis of Clinical DataA method for zooming of nonlinear models of biochemical systems.Distinguishing enzymes using metabolome data for the hybrid dynamic/static method.Predictive models of forest dynamics.New time-scale criteria for model simplification of bio-reaction systemsZooming of states and parameters using a lumping approach including back-translation.Decoding complex biological networks - tracing essential and modulatory parameters in complex and simplified models of the cell cycle.Global sensitivity analysis of a mathematical model of acute inflammation identifies nonlinear dependence of cumulative tissue damage on host interleukin-6 responses.Simplification of biochemical models: a general approach based on the analysis of the impact of individual species and reactions on the systems dynamics.Stochastic flux analysis of chemical reaction networks.Morphisms of reaction networks that couple structure to function.Reduced-order modelling of biochemical networks: application to the GTPase-cycle signalling moduleA combined model reduction algorithm for controlled biochemical systemsOscillator model reduction preserving the phase response: application to the circadian clockA top-down approach to mechanistic biological modeling: application to the single-chain antibody folding pathway.A Six-Stage Workflow for Robust Application of Systems Pharmacology.Mixed-integer nonlinear optimisation approach to coarse-graining biochemical networks.Parameter identification of in vivo kinetic models: limitations and challenges.Methods of Model Reduction for Large-Scale Biological Systems: A Survey of Current Methods and Trends.Simplification of a pharmacokinetic model for red blood cell methotrexate disposition.Exact model reduction with delays: closed-form distributions and extensions to fully bi-directional monomolecular reactions.Computing minimal entropy production trajectories: an approach to model reduction in chemical kinetics.Workflow for generating competing hypothesis from models with parameter uncertainty.Parameter Estimation Using Divide-and-Conquer Methods for Differential Equation Models.Flux-concentration duality in dynamic nonequilibrium biological networks.Mass action stoichiometric simulation models: incorporating kinetics and regulation into stoichiometric models.Systematic reduction of a stochastic signalling cascade model.Simplification of stochastic chemical reaction models with fast and slow dynamics.Automatic identification of model reductions for discrete stochastic simulation.Kinetic Modeling of Mammalian Cell Culture Bioprocessing: The Quest to Advance Biomanufacturing.Understanding and reducing complex systems pharmacology models based on a novel input-response index.Maximal aggregation of polynomial dynamical systems.Fluctuation relations between hierarchical kinetically equivalent networks with Arrhenius-type transitions and their roles in systems and structural biology.
P2860
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P2860
Simplification of Mathematical Models of Chemical Reaction Systems.
description
1998 nî lūn-bûn
@nan
1998年の論文
@ja
1998年学术文章
@wuu
1998年学术文章
@zh
1998年学术文章
@zh-cn
1998年学术文章
@zh-hans
1998年学术文章
@zh-my
1998年学术文章
@zh-sg
1998年學術文章
@yue
1998年學術文章
@zh-hant
name
Simplification of Mathematical Models of Chemical Reaction Systems.
@en
Simplification of Mathematical Models of Chemical Reaction Systems.
@nl
type
label
Simplification of Mathematical Models of Chemical Reaction Systems.
@en
Simplification of Mathematical Models of Chemical Reaction Systems.
@nl
prefLabel
Simplification of Mathematical Models of Chemical Reaction Systems.
@en
Simplification of Mathematical Models of Chemical Reaction Systems.
@nl
P356
P1433
P1476
Simplification of Mathematical Models of Chemical Reaction Systems.
@en
P2093
Michael L. Mavrovouniotis
Miles S. Okino
P304
P356
10.1021/CR950223L
P577
1998-04-01T00:00:00Z