Identification of parameters for large-scale kinetic models

Optimal Selection of Enzyme Levels Using Large-scale Kinetic Models

A hybrid optimization framework is introduced to identify enzyme sets and levels to meet overproduction requirements using kinetic models of metabolism. A simulated annealing algorithm is employed to navigate through the discrete space of enzyme sets while a sequential quadratic programming method is utilized to identify optimal enzyme levels. The framework is demonstrated on a model of E.coli ...

Identification of Parameters for Thermoelasticity Models

An algorithm for identiication of unknown parameters of a Landau-Devonshire model describing phase transitions in shape memory alloys 1] is proposed. Distributions of the displacement and of the temperature observed with an error are input data of the algorithm. Finite element approximations of the input data and of the model are used. The algorithm utilizes the idea of the direct minimization ...

Large Scale Identification of SSR Molecular Markers in Ajowan (Trachyspermum ammi) Using RNA Sequencing

The medicinal plant, Trachyspermum ammi is a rich source of active pharmaceutical ingredients with pharmaceutics effects. Microsatellite markers play a key role in the genome and gene expression, especially in secondary metabolite biosynthesis in medicinal plants. For the first time, transcriptome sequencing of this herb medicine was carried out to identify the microsatellite markers of this sp...

The application of DEA and queuing models to large scale computer networks

Large deviations for two scale chemical kinetic processes

We formulate the large deviations for a class of two scale chemical kinetic processes motivated from biological applications. The result is successfully applied to treat a genetic switching model with positive feedbacks. The corresponding Hamiltonian is convex with respect to the momentum variable as a by-product of the large deviation theory. This property ensures its superiority in the rare e...