Sentence examples for modelling biochemical systems from inspiring English sources

In this section, we propose an integrated and complementary qualitative and quantitative biochemical modelling framework (2QBMF) for modelling biochemical systems, and this framework can identify the structure and kinetic rate constants simultaneously.

In modelling biochemical systems, the rate of a reaction representing concentration change per unit time can be written as a function of the concentrations of reactants and products.

We use a novel textual language for modelling biochemical systems [ 10], and perform simulations through the BetaWB simulator [ 25], an existing tool based on Gillespie's stochastic simulation algorithm [ 26].

Modelling biochemical systems in silico helps the investigation of biochemical systems in nature.

Developing a model with its initial list of parameter values to reproduce a specific behavior is just the first step in the process of modeling biochemical systems.

However, although rooted in the rule-based domain, bio κ shows limited expressiveness for modeling biochemical systems compared to other rule-based languages, e.g. the κ-calculus [ 7].

Artificial chemistries can also be used to model biochemical systems such as metabolic pathways, in which molecules represent metabolites and reaction rules represent biochemical reactions (Rosselló and Valiente, 2005b), and they allow for answering qualitative questions about metabolism.

Among the various computational languages which have been used to model biochemical systems, we consider here process calculi (see for example [ 4- 8], or [ 9] for a review of the process calculi approach).

We outline the conventional approach to model biochemical systems, discuss its limitations and review recent techniques that allow for the modeling of systems with inherent combinatorial complexity.

The algorithm is used to simulate biochemical systems that model oscillatory gene expression.

Power law nonlinearities have been used extensively in modelling biochemical kinetics in interacting systems.