Add to ORKGIn this study, a parameter estimation method has been developed for models of biomedical pathways. The inconsistency among experimental data that may come from different sources is reduced. The resulting parameters define a well-behaved mathematical model in the steady state. Based on experimental data collected separately from individual sub steps of a pathway, this approach achieves overall optimization in two steps: flux optimization and individual parameter optimization. The method is useful for identifying an initial state in modeling the dynamics of a biochemical pathway. The method has been effective as applied to a model of glycolysis
Problem statement. Constructing a computational model for a biological sys-tem consists of two main ...
Abstract. Model checking has historically been an important tool to verify models of a wide variety ...
We present an identification framework for biochemical systems that allows multiple candidate models...
In this study, a parameter estimation method has been developed for models of biomedical pathways. T...
Computational models in systems biology are usually characterized by a lack of reliable parameter va...
Abstract Background Determining the parameters of a mathematical model from quantitative measurement...
The inverse problem of modeling biochemical processes mathematically from measured time course data ...
Identification of metabolic regulation is a key point in metabolic engineering. Metabolic regulation...
Two recently published methods are combined for the task of generating an S-system model of a bioche...
Parameter estimation is a challenging problem for biological systems modelling since the model is no...
Mathematical models of biological processes have various applications: to assist in understanding th...
Mathematical models of biological processes have various applications: to assist in understanding th...
In bioinformatics, biochemical signal pathways can be modeled by many differential equations. It is ...
Motivation: Cellular information processing can be described mathematically using differential equat...
Parameter estimation is challenging for biological systems modelling since the model is normally of ...
Problem statement. Constructing a computational model for a biological sys-tem consists of two main ...
Abstract. Model checking has historically been an important tool to verify models of a wide variety ...
We present an identification framework for biochemical systems that allows multiple candidate models...
In this study, a parameter estimation method has been developed for models of biomedical pathways. T...
Computational models in systems biology are usually characterized by a lack of reliable parameter va...
Abstract Background Determining the parameters of a mathematical model from quantitative measurement...
The inverse problem of modeling biochemical processes mathematically from measured time course data ...
Identification of metabolic regulation is a key point in metabolic engineering. Metabolic regulation...
Two recently published methods are combined for the task of generating an S-system model of a bioche...
Parameter estimation is a challenging problem for biological systems modelling since the model is no...
Mathematical models of biological processes have various applications: to assist in understanding th...
Mathematical models of biological processes have various applications: to assist in understanding th...
In bioinformatics, biochemical signal pathways can be modeled by many differential equations. It is ...
Motivation: Cellular information processing can be described mathematically using differential equat...
Parameter estimation is challenging for biological systems modelling since the model is normally of ...
Problem statement. Constructing a computational model for a biological sys-tem consists of two main ...
Abstract. Model checking has historically been an important tool to verify models of a wide variety ...
We present an identification framework for biochemical systems that allows multiple candidate models...