Integrated modelling of biological systems is becoming a necessity for constructing models
containing the major biochemical processes of such systems in order to obtain a holistic …

Although the quantity and quality of single‐cell data have progressed rapidly, making
quantitative predictions with single‐cell stochastic models remains challenging. The …

Signaling in cells is full of noise and, hence, described with stochastic biochemical models.
Thus, an efficient computation algorithm for these fluctuating reactions is much needed …

With the steady advance of in-silico biological experimentation, model construction and
simulation becomes a ubiquitous tool to understand and predict the behaviour of many …

Studying and analysing the various phases and key proteins of cell cycles is essential for the
understanding of cell development and differentiation. To this end, mechanistic models play …

The cell cycle is a complex network involved in the regulation of cell growth and
proliferation. Intrinsic molecular noise in gene expression in the cell cycle network can …

The cell cycle consists of a series of orchestrated events controlled by molecular sensing
and feedback networks that ultimately drive the duplication of total DNA and the subsequent …

Several recent inequalities bound the precision of a current, ie, a counter of the net number
of transitions in a system, by a thermodynamic measure of dissipation. However, while …

Exposure of cells to non‐optimal growth conditions or to any environment that reduces cell
viability can be considered as a stress. In this paper, we are going to highlight the main …

This chapter discusses the mass sensors for biological applications in the early detection of
cyto-pathological diseases. We are focusing on design and developing parameters of a …