Strategies for modeling the complex dynamical behavior of gene/protein regulatory networks
have evolved over the last 50 years as both the knowledge of these molecular control …

With the increasing interest in systems biology to investigate the dynamics and behaviour of
biological reaction networks, the scales as well as the complexities of the models under …

The growth and division of eukaryotic cells are regulated by complex, multi-scale networks.
In this process, the mechanism of controlling cell-cycle progression has to be robust against …

Cell size is a key characteristic that significantly affects many aspects of cellular physiology.
There are specific control mechanisms during cell cycle to maintain the cell size within a …

The hybrid stochastic simulation algorithm, proposed by Haseltine and Rawlings, can
significantly improve the simulation efficiency for multiscale biochemical networks. However …

The budding yeast cell cycle is regulated by complex and multi-scale control mechanisms,
and is subject to inherent noise in a cell, resulted from low copy numbers of species such as …

Noise in cellular systems is often modeled and simulated with Gillespie's stochastic
simulation algorithm (SSA), but the low efficiency of the SSA limits its application to large …

Progress in experimental techniques enables a more accurate quantification of genes,
mRNA, and proteins at the single cell level. Provided with limited time series data from …

The cell cycle of budding yeast is controlled by a complex chemically reacting network of a
large group of species, including mRNAs and proteins. Many mathematical models have …

Numerous challenges arise in modeling and simulation as biochemical networks are
discovered with increasing complexities and unknown mechanisms. With the improvement …