A modified variational approach to noisy cell signaling
R Cai, Y Lan - The Journal of Chemical Physics, 2024 - pubs.aip.org
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 …
Thus, an efficient computation algorithm for these fluctuating reactions is much needed …
A hybrid stochastic model of the budding yeast cell cycle
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 …
In this process, the mechanism of controlling cell-cycle progression has to be robust against …
A stochastic model of size control in the budding yeast cell cycle
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 …
There are specific control mechanisms during cell cycle to maintain the cell size within a …
Analysis and remedy of negativity problem in hybrid stochastic simulation algorithm and its application
The hybrid stochastic simulation algorithm, proposed by Haseltine and Rawlings, can
significantly improve the simulation efficiency for multiscale biochemical networks. However …
significantly improve the simulation efficiency for multiscale biochemical networks. However …
Accuracy analysis of hybrid stochastic simulation algorithm on linear chain reaction systems
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 …
simulation algorithm (SSA), but the low efficiency of the SSA limits its application to large …
A hybrid stochastic model of the budding yeast cell cycle
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 …
In this process, the mechanism of controlling cell-cycle progression has to be robust against …
Stochastic Modeling and Simulation of Multiscale Biochemical Systems
M Chen - 2019 - vtechworks.lib.vt.edu
Numerous challenges arise in modeling and simulation as biochemical networks are
discovered with increasing complexities and unknown mechanisms. With the improvement …
discovered with increasing complexities and unknown mechanisms. With the improvement …
Hybrid ODE/SSA methods and the cell cycle model
Stochastic effect in cellular systems has been an important topic in systems biology.
Stochastic modeling and simulation methods are important tools to study stochastic effect …
Stochastic modeling and simulation methods are important tools to study stochastic effect …
The Art of Modeling and Simulation of Multiscale Biochemical Systems
Y Pu - 2015 - search.proquest.com
In this thesis we study modeling and simulation approaches for multiscale biochemical
systems. The thesis addresses both modeling methods and simulation strategies. In the first …
systems. The thesis addresses both modeling methods and simulation strategies. In the first …