Efficient Formulations for Exact Stochastic Simulation of Chemical Systems

Author(s):  
Sean Mauch ◽  
Mark Stalzer
2021 ◽  
Author(s):  
Farida Ansari

Stochastic models of intracellular processes are subject of intense research today. For homogeneous systems, these models are based on the Chemical Master Equation, which is a discrete stochastic model. The Chemical Master Equation is often solved numerically using Gillespie’s exact stochastic simulation algorithm. This thesis studies the performance of another exact stochastic simulation strategy, which is based on the Random Time Change representation, and is more efficient for sensitivity analysis, compared to Gillespie’s algorithm. This method is tested on several models of biological interest, including an epidermal growth factor receptor model.


2007 ◽  
Vol 24 (9) ◽  
pp. 2509-2512 ◽  
Author(s):  
Chen Xiao ◽  
Ao Ling

2010 ◽  
Author(s):  
Rajesh Ramaswamy ◽  
Ivo F. Sbalzarini ◽  
Theodore E. Simos ◽  
George Psihoyios ◽  
Ch. Tsitouras

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