We describe a workflow to translate a given metabolic network into a kinetic model; the model summarises kinetic information collected from different data sources. All reactions are modelled by convenience kinetics; where detailed kinetic laws are known, they can also be incorporated. Confidence intervals and correlations of the resulting model parameters are obtained from Bayesian parameter es...

Basics We will use the following parameters: • n, the security parameter.

Working memory capacity is one of the most important learner's characteristics that can be used as an input parameter for personalizing learning in order to improve the learning process. Therefore, knowing learner’s working memory capacity and personalizing the learning contents according to learner’s working memory capacity levels are important research issues. This paper proposes an approach ...

Many protein and mRNA species occur at low molecular counts within cells, and hence are subject to large stochastic fluctuations in copy numbers over time. Development of computationally tractable frameworks for modelling stochastic fluctuations in population counts is essential to understand how noise at the cellular level affects biological function and phenotype. We show that stochastic hybr...

In this paper, a novel computational technique for finite discrete approximation of continuous dynamical systems suitable for a significant class of biochemical dynamical systems is introduced. The method is parameterized in order to affect the imposed level of approximation provided that with increasing parameter value the approximation converges to the original continuous system. By employing...

In this paper a novel computational technique for finite discrete approximation of continuous dynamical systems suitable for a significant class of biochemical dynamical systems is introduced. The method is parameterized in order to affect the imposed level of approximation provided that with increasing parameter value the approximation converges to the original continuous system. By employing ...

As digital microfluidic biochips become widespread in safety-critical biochemical applications, system dependability emerges as a critical performance parameter. The dynamic reconfigurability inherent in digital microfluidic biochips can be utilized to bypass faulty cells, thereby supporting defect/fault tolerance. In this paper, we propose three different reconfiguration techniques and the cor...

In this paper we proposed to research the biochemical mechanisms of the biocompounds with indolic structure, by investigating their biochemical effects on one very important physico-chemical parameter of the cell membrane, namely the (trans)membrane potential. The aim of the study was the assessment of the membrane depolarizationrepolarization processes induced by some bio-indoles, namely melat...