Titlebook: Computational Methods for Estimating the Kinetic Parameters of Biological Systems; Quentin Vanhaelen Book 2022 Springer Science+Business M

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,Current Approaches of Building Mechanistic Pharmacodynamic Drug–Target Binding Models,ngagement and the efficacy of a drug dose. However, guidelines on how to build and interpret mechanistic pharmacodynamic drug–target binding models considering both biological and computational factors are still missing in the literature. In this chapter, current approaches of building mechanistic P

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,Beyond the Michaelis–Menten: Bayesian Inference for Enzyme Kinetic Analysis, low enzyme concentration. Furthermore, even when this condition is satisfied, parameter estimation is often imprecise due to the parameter identifiability issue. To overcome these limitations of the canonical approach to enzyme kinetics, we developed a Bayesian approach based on a modified form of

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Dynamic Optimization Approach to Estimate Kinetic Parameters of Monod-Based Microalgae Growth Modelm specific growth rate and saturation constant of light intensity were evaluated by nonlinear least squares methods that focused on minimizing the sum of squares error (SSE). The importance of good initial guess for the nonlinear least squares method was also discussed. The optimal control problem o

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Automatic Assembly and Calibration of Models of Enzymatic Reactions Based on Ordinary Differential f enzymes today, as they are now largely produced using recombinant technology, or can even be synthesized from scratch. Studies of the three-dimensional structures of enzymes can provide answers to many questions, but the kinetics of enzymatic reactions is the only method that can lead to better un

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Data Processing to Probe the Cellular Hydrogen Peroxide Landscape, of the transient variations in localized H.O. pools during signaling events and how these variations impact redox switches present in the cell remain elusive. A canonical model with two chemical reactions comprising the oxidation/reduction cycle of a redox switch is described. The model is dimensio

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