Abstract:We consider the enzyme kinetic reaction scheme originally proposed by V. HenriВ of single enzyme-substrate dynamics where two fractions of the enzyme - free and bound - are involved. Henri's scheme involves four concentrations and three rate constants and via the mass action law it is translated into a systemВ of four ODE's. On two case studies we demonstrate how the rate constants can be computed whenever time course experimental data are available. The obtained results are compared with analogous results i… Show more
“…We see that the logistic model admits all three formulation types: the E-type (13), the D-type (11) or (12) and the R-type (10).…”
Section: B Case Study 2: Verhulst Logistic Growthmentioning
confidence: 93%
“…A possible "biological" interpretation of reaction network (10) in the context of population dynamics can be the following: the nutrient substrate (or species) U is utilized (consumed) by species (population) X leading to a reproduction of species X, thereby k is a specific growth rate of the process.…”
Section: B Case Study 2: Verhulst Logistic Growthmentioning
confidence: 99%
“…On the other side reaction network (22) can be seen as an extension of Verhulst reaction network (10) by involving an intermediate catalyst C.…”
Section: A a Basic Verhulst-henri Modelmentioning
confidence: 99%
“…Graphs of the solutions m, f of model (23) ues for the rate parameters and the initial conditions by fitting (some of) the solutions to available time course experimental measurements. Computational tools for the solution of this problem are proposed in [10], [11].…”
Section: Denoting the Concentrationsmentioning
confidence: 99%
“…The transition of the aggregated monomer P into fibril according to reaction network (28 follows the Verhulst autocatalitic mechanism (10). Applying the mass action law we obtain the ODE system: dm/dt = −k + f m + k − c, df /dt = −k + f m + (k − + k c )c + k p f p, dc/dt = k + f m − (k − + k c )c, dp/dt = k c c − k p f p.…”
Section: Reaction Network 2 An Intermediate Product P Is Involved Asmentioning
Abstract-In this work we discuss some methodological aspects of the creation and formulation of mathematical models describing the growth of species from the point of view of reaction kinetics. Our discussion is based on familiar examples of growth models such as logistic growth and enzyme kinetics. We propose several reaction network models for the amiloid fibrillation processes in the citoplasm. The solutions of the models are sigmoidal functions graphically visualized using the computer algebra system Mathematica.
“…We see that the logistic model admits all three formulation types: the E-type (13), the D-type (11) or (12) and the R-type (10).…”
Section: B Case Study 2: Verhulst Logistic Growthmentioning
confidence: 93%
“…A possible "biological" interpretation of reaction network (10) in the context of population dynamics can be the following: the nutrient substrate (or species) U is utilized (consumed) by species (population) X leading to a reproduction of species X, thereby k is a specific growth rate of the process.…”
Section: B Case Study 2: Verhulst Logistic Growthmentioning
confidence: 99%
“…On the other side reaction network (22) can be seen as an extension of Verhulst reaction network (10) by involving an intermediate catalyst C.…”
Section: A a Basic Verhulst-henri Modelmentioning
confidence: 99%
“…Graphs of the solutions m, f of model (23) ues for the rate parameters and the initial conditions by fitting (some of) the solutions to available time course experimental measurements. Computational tools for the solution of this problem are proposed in [10], [11].…”
Section: Denoting the Concentrationsmentioning
confidence: 99%
“…The transition of the aggregated monomer P into fibril according to reaction network (28 follows the Verhulst autocatalitic mechanism (10). Applying the mass action law we obtain the ODE system: dm/dt = −k + f m + k − c, df /dt = −k + f m + (k − + k c )c + k p f p, dc/dt = k + f m − (k − + k c )c, dp/dt = k c c − k p f p.…”
Section: Reaction Network 2 An Intermediate Product P Is Involved Asmentioning
Abstract-In this work we discuss some methodological aspects of the creation and formulation of mathematical models describing the growth of species from the point of view of reaction kinetics. Our discussion is based on familiar examples of growth models such as logistic growth and enzyme kinetics. We propose several reaction network models for the amiloid fibrillation processes in the citoplasm. The solutions of the models are sigmoidal functions graphically visualized using the computer algebra system Mathematica.
In this paper, Caputo based Michaelis -Menten kinetic model based on Time Scale Calculus (TSC) is proposed. The main reason for its consideration is a study of tumor cells population growth dynamics. In the particular case discrete-continuous time kinetics, Michaelis-Menten model is numerically treated, using a new algorithm proposed by authors, called multistep generalized difference transformation method (MSGDETM). In addition numerical simulations are performed and is shown that it represents the upgrade of the multi-step variant of generalized differential transformation method (MSGDTM). A possible conditions for its further development are discussed and possible experimental verification is described.
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