246 related articles for article (PubMed ID: 27248512)
1. Stochastic Simulation of Biomolecular Networks in Dynamic Environments.
Voliotis M; Thomas P; Grima R; Bowsher CG
PLoS Comput Biol; 2016 Jun; 12(6):e1004923. PubMed ID: 27248512
[TBL] [Abstract][Full Text] [Related]
2. An equation-free probabilistic steady-state approximation: dynamic application to the stochastic simulation of biochemical reaction networks.
Salis H; Kaznessis YN
J Chem Phys; 2005 Dec; 123(21):214106. PubMed ID: 16356038
[TBL] [Abstract][Full Text] [Related]
3. The chemical Langevin equation for biochemical systems in dynamic environments.
Ham L; Coomer MA; Stumpf MPH
J Chem Phys; 2022 Sep; 157(9):094105. PubMed ID: 36075715
[TBL] [Abstract][Full Text] [Related]
4. A new class of highly efficient exact stochastic simulation algorithms for chemical reaction networks.
Ramaswamy R; González-Segredo N; Sbalzarini IF
J Chem Phys; 2009 Jun; 130(24):244104. PubMed ID: 19566139
[TBL] [Abstract][Full Text] [Related]
5. A dominated coupling from the past algorithm for the stochastic simulation of networks of biochemical reactions.
Hemberg M; Barahona M
BMC Syst Biol; 2008 May; 2():42. PubMed ID: 18466612
[TBL] [Abstract][Full Text] [Related]
6. A Hybrid of the Chemical Master Equation and the Gillespie Algorithm for Efficient Stochastic Simulations of Sub-Networks.
Albert J
PLoS One; 2016; 11(3):e0149909. PubMed ID: 26930199
[TBL] [Abstract][Full Text] [Related]
7. Efficient Constant-Time Complexity Algorithm for Stochastic Simulation of Large Reaction Networks.
Thanh VH; Zunino R; Priami C
IEEE/ACM Trans Comput Biol Bioinform; 2017; 14(3):657-667. PubMed ID: 26890923
[TBL] [Abstract][Full Text] [Related]
8. Time-ordered product expansions for computational stochastic system biology.
Mjolsness E
Phys Biol; 2013 Jun; 10(3):035009. PubMed ID: 23735739
[TBL] [Abstract][Full Text] [Related]
9. Stochastic simulation and analysis of biomolecular reaction networks.
Frazier JM; Chushak Y; Foy B
BMC Syst Biol; 2009 Jun; 3():64. PubMed ID: 19534796
[TBL] [Abstract][Full Text] [Related]
10. Optimal enumeration of state space of finitely buffered stochastic molecular networks and exact computation of steady state landscape probability.
Cao Y; Liang J
BMC Syst Biol; 2008 Mar; 2():30. PubMed ID: 18373871
[TBL] [Abstract][Full Text] [Related]
11. Beyond the chemical master equation: Stochastic chemical kinetics coupled with auxiliary processes.
Lunz D; Batt G; Ruess J; Bonnans JF
PLoS Comput Biol; 2021 Jul; 17(7):e1009214. PubMed ID: 34319979
[TBL] [Abstract][Full Text] [Related]
12. Slow update stochastic simulation algorithms for modeling complex biochemical networks.
Ghosh D; De RK
Biosystems; 2017 Dec; 162():135-146. PubMed ID: 29080799
[TBL] [Abstract][Full Text] [Related]
13. Path ensembles and path sampling in nonequilibrium stochastic systems.
Harland B; Sun SX
J Chem Phys; 2007 Sep; 127(10):104103. PubMed ID: 17867733
[TBL] [Abstract][Full Text] [Related]
14. Hybrid deterministic/stochastic simulation of complex biochemical systems.
Lecca P; Bagagiolo F; Scarpa M
Mol Biosyst; 2017 Nov; 13(12):2672-2686. PubMed ID: 29058744
[TBL] [Abstract][Full Text] [Related]
15. Stochastic approaches in systems biology.
Ullah M; Wolkenhauer O
Wiley Interdiscip Rev Syst Biol Med; 2010; 2(4):385-397. PubMed ID: 20836037
[TBL] [Abstract][Full Text] [Related]
16. Dimensional reduction of the master equation for stochastic chemical networks: The reduced-multiplane method.
Barzel B; Biham O; Kupferman R; Lipshtat A; Zait A
Phys Rev E Stat Nonlin Soft Matter Phys; 2010 Aug; 82(2 Pt 1):021117. PubMed ID: 20866785
[TBL] [Abstract][Full Text] [Related]
17. FERN - a Java framework for stochastic simulation and evaluation of reaction networks.
Erhard F; Friedel CC; Zimmer R
BMC Bioinformatics; 2008 Aug; 9():356. PubMed ID: 18755046
[TBL] [Abstract][Full Text] [Related]
18. A computational tool for Monte Carlo simulations of biomolecular reaction networks modeled on physical principles.
Li IT; Mills E; Truong K
IEEE Trans Nanobioscience; 2010 Mar; 9(1):24-30. PubMed ID: 19887331
[TBL] [Abstract][Full Text] [Related]
19. Equation-free analysis of two-component system signalling model reveals the emergence of co-existing phenotypes in the absence of multistationarity.
Hoyle RB; Avitabile D; Kierzek AM
PLoS Comput Biol; 2012; 8(6):e1002396. PubMed ID: 22761552
[TBL] [Abstract][Full Text] [Related]
20. Lattice Microbes: high-performance stochastic simulation method for the reaction-diffusion master equation.
Roberts E; Stone JE; Luthey-Schulten Z
J Comput Chem; 2013 Jan; 34(3):245-55. PubMed ID: 23007888
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]