We herein report a novel kinetic modelling methodology whereby identification of the correct reaction model and parameters is conducted by an autonomous framework combined with transient flow measurements to enable comprehensive process understanding minimal user input. An automated chemistry platform was employed initially conduct linear flow-ramp experiments rapidly map profile three processe...

It is common practice to estimate kinetic parameters from dynamically acquired tomographic data by first reconstructing a dynamic sequence of three-dimensional reconstructions and then fitting the parameters to time activity curves generated from the time-varying reconstructed images. However, in SPECT, the pharmaceutical distribution can change during the acquisition of a complete tomographic ...

The period of circadian rhythms often fluctuates around 24 h due to the changes of environmental factors. Actually, the period varies directly with the ambient stimuli which could be expressed as different values of the kinetic parameters included in the circadian models. Therefore, to study the relationships between kinetic parameters and period, which is also known as sensitivity analysis, is...

The substrate depletion approach is an increasingly popular alternative to the traditional method (observing product formation) of determining the kinetic parameters (KM and Vmax) of an enzyme. Obach and Reed-Hagen (Drug Metab Dispos 30:831–837, 2002) used an empirical relationship between substrate depletion rate constants and initial substrate concentration to determine kinetic parameters for...

In attempting to develop large-scaled metabolic models using general dynamic modeling methods, a large set of data, such as kinetics mechanisms and parameters, is required. It is difficult to obtain a complete set of rate equations and kinetic parameters. To solve the problem, we have proposed an algorithm which simulates a pathway model including dynamic kinetic parts and flux-based static par...