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438 related items for PubMed ID: 17964950

  • 1. Methods for simulating the dynamics of complex biological processes.
    Schilstra MJ, Martin SR, Keating SM.
    Methods Cell Biol; 2008; 84():807-42. PubMed ID: 17964950
    [Abstract] [Full Text] [Related]

  • 2. Accurate hybrid stochastic simulation of a system of coupled chemical or biochemical reactions.
    Salis H, Kaznessis Y.
    J Chem Phys; 2005 Feb 01; 122(5):54103. PubMed ID: 15740306
    [Abstract] [Full Text] [Related]

  • 3. Stochastic simulations on a model of circadian rhythm generation.
    Miura S, Shimokawa T, Nomura T.
    Biosystems; 2008 Feb 01; 93(1-2):133-40. PubMed ID: 18585851
    [Abstract] [Full Text] [Related]

  • 4. Mass fluctuation kinetics: capturing stochastic effects in systems of chemical reactions through coupled mean-variance computations.
    Gómez-Uribe CA, Verghese GC.
    J Chem Phys; 2007 Jan 14; 126(2):024109. PubMed ID: 17228945
    [Abstract] [Full Text] [Related]

  • 5. Taming the complexity of biological pathways through parallel computing.
    Ballarini P, Guido R, Mazza T, Prandi D.
    Brief Bioinform; 2009 May 14; 10(3):278-88. PubMed ID: 19339382
    [Abstract] [Full Text] [Related]

  • 6. Fast stochastic simulation of biochemical reaction systems by alternative formulations of the chemical Langevin equation.
    Mélykúti B, Burrage K, Zygalakis KC.
    J Chem Phys; 2010 Apr 28; 132(16):164109. PubMed ID: 20441260
    [Abstract] [Full Text] [Related]

  • 7. 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 01; 123(21):214106. PubMed ID: 16356038
    [Abstract] [Full Text] [Related]

  • 8. COAST: Controllable approximative stochastic reaction algorithm.
    Wagner H, Möller M, Prank K.
    J Chem Phys; 2006 Nov 07; 125(17):174104. PubMed ID: 17100426
    [Abstract] [Full Text] [Related]

  • 9. Numerical simulation of a Campbell-like stochastic delay model for bacteriophage infection.
    Carletti M.
    Math Med Biol; 2006 Dec 07; 23(4):297-310. PubMed ID: 16801387
    [Abstract] [Full Text] [Related]

  • 10. [Stochastic computer model of cellular microtubule dynamics].
    Shpil'man AA, Nadezhdina ES.
    Biofizika; 2006 Dec 07; 51(5):880-4. PubMed ID: 17131828
    [Abstract] [Full Text] [Related]

  • 11. Sequential estimation for prescribed statistical accuracy in stochastic simulation of biological systems.
    Sandmann W.
    Math Biosci; 2009 Sep 07; 221(1):43-53. PubMed ID: 19576907
    [Abstract] [Full Text] [Related]

  • 12. Stochasticity in physiologically based kinetics models: implications for cancer risk assessment.
    Péry AR, Bois FY.
    Risk Anal; 2009 Aug 07; 29(8):1182-91. PubMed ID: 19508449
    [Abstract] [Full Text] [Related]

  • 13. Insights into cytoskeletal behavior from computational modeling of dynamic microtubules in a cell-like environment.
    Gregoretti IV, Margolin G, Alber MS, Goodson HV.
    J Cell Sci; 2006 Nov 15; 119(Pt 22):4781-8. PubMed ID: 17093268
    [Abstract] [Full Text] [Related]

  • 14. Path ensembles and path sampling in nonequilibrium stochastic systems.
    Harland B, Sun SX.
    J Chem Phys; 2007 Sep 14; 127(10):104103. PubMed ID: 17867733
    [Abstract] [Full Text] [Related]

  • 15. Generalized binomial tau-leap method for biochemical kinetics incorporating both delay and intrinsic noise.
    Leier A, Marquez-Lago TT, Burrage K.
    J Chem Phys; 2008 May 28; 128(20):205107. PubMed ID: 18513050
    [Abstract] [Full Text] [Related]

  • 16. A quasistationary analysis of a stochastic chemical reaction: Keizer's paradox.
    Vellela M, Qian H.
    Bull Math Biol; 2007 Jul 28; 69(5):1727-46. PubMed ID: 17318672
    [Abstract] [Full Text] [Related]

  • 17. Dynamic partitioning for hybrid simulation of the bistable HIV-1 transactivation network.
    Griffith M, Courtney T, Peccoud J, Sanders WH.
    Bioinformatics; 2006 Nov 15; 22(22):2782-9. PubMed ID: 16954141
    [Abstract] [Full Text] [Related]

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  • 19. Multiresolution stochastic simulations of reaction-diffusion processes.
    Bayati B, Chatelain P, Koumoutsakos P.
    Phys Chem Chem Phys; 2008 Oct 21; 10(39):5963-6. PubMed ID: 18825283
    [Abstract] [Full Text] [Related]

  • 20. Developing Itô stochastic differential equation models for neuronal signal transduction pathways.
    Manninen T, Linne ML, Ruohonen K.
    Comput Biol Chem; 2006 Aug 21; 30(4):280-91. PubMed ID: 16880117
    [Abstract] [Full Text] [Related]

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