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145 related items for PubMed ID: 21453748
1. Modeling the cell cycle: from deterministic models to hybrid systems. Alfieri R, Bartocci E, Merelli E, Milanesi L. Biosystems; 2011 Jul; 105(1):34-40. PubMed ID: 21453748 [Abstract] [Full Text] [Related]
2. A data integration approach for cell cycle analysis oriented to model simulation in systems biology. Alfieri R, Merelli I, Mosca E, Milanesi L. BMC Syst Biol; 2007 Aug 01; 1():35. PubMed ID: 17678529 [Abstract] [Full Text] [Related]
3. A hybrid systems framework for cellular processes. Cho KH, Johansson KH, Wolkenhauer O. Biosystems; 2005 Jun 01; 80(3):273-82. PubMed ID: 15888342 [Abstract] [Full Text] [Related]
4. Parameter estimation for cell cycle ordinary differential equation (ODE) models using a grid approach. Alfieri R, Mosca E, Merelli I, Milanesi L. Stud Health Technol Inform; 2007 Jun 01; 126():93-102. PubMed ID: 17476052 [Abstract] [Full Text] [Related]
5. Individual-based modeling of phytoplankton: evaluating approaches for applying the cell quota model. Hellweger FL, Kianirad E. J Theor Biol; 2007 Dec 07; 249(3):554-65. PubMed ID: 17900626 [Abstract] [Full Text] [Related]
6. What cycles the cell? -Robust autonomous cell cycle models. Lavi O, Louzoun Y. Math Med Biol; 2009 Dec 07; 26(4):337-59. PubMed ID: 19581341 [Abstract] [Full Text] [Related]
7. Parameter identification, experimental design and model falsification for biological network models using semidefinite programming. Hasenauer J, Waldherr S, Wagner K, Allgöwer F. IET Syst Biol; 2010 Mar 07; 4(2):119-30. PubMed ID: 20232992 [Abstract] [Full Text] [Related]
8. From simple to complex patterns of oscillatory behavior in a model for the mammalian cell cycle containing multiple oscillatory circuits. Gérard C, Goldbeter A. Chaos; 2010 Dec 07; 20(4):045109. PubMed ID: 21198121 [Abstract] [Full Text] [Related]
9. The morphostatic limit for a model of skeletal pattern formation in the vertebrate limb. Alber M, Glimm T, Hentschel HG, Kazmierczak B, Zhang YT, Zhu J, Newman SA. Bull Math Biol; 2008 Feb 07; 70(2):460-83. PubMed ID: 17965922 [Abstract] [Full Text] [Related]
10. Modelling excitable cells using cycle-linear hybrid automata. Ye P, Entcheva E, Smolka SA, Grosu R. IET Syst Biol; 2008 Jan 07; 2(1):24-32. PubMed ID: 18248083 [Abstract] [Full Text] [Related]
11. A hybrid model of anaerobic E. coli GJT001: combination of elementary flux modes and cybernetic variables. Kim JI, Varner JD, Ramkrishna D. Biotechnol Prog; 2008 Jan 07; 24(5):993-1006. PubMed ID: 19194908 [Abstract] [Full Text] [Related]
12. Finding alternatives and reduced formulations for process-based models. Bernhardt K. Evol Comput; 2008 Jan 07; 16(1):63-88. PubMed ID: 18386996 [Abstract] [Full Text] [Related]
13. [Modeling dynamics of gene net, regulating the cell cycle in mammalian cells]. Deĭneko IV, Kel' AE, Kel'-Margulis OV, Wingender E, Ratner VA. Genetika; 2003 Sep 07; 39(9):1285-92. PubMed ID: 14582399 [Abstract] [Full Text] [Related]
14. A hybrid model of cell cycle in mammals. Behaegel J, Comet JP, Bernot G, Cornillon E, Delaunay F. J Bioinform Comput Biol; 2016 Feb 07; 14(1):1640001. PubMed ID: 26708052 [Abstract] [Full Text] [Related]
15. Stochastic analysis of a miRNA-protein toggle switch. Giampieri E, Remondini D, de Oliveira L, Castellani G, Lió P. Mol Biosyst; 2011 Oct 07; 7(10):2796-803. PubMed ID: 21717010 [Abstract] [Full Text] [Related]
16. Online model checking approach based parameter estimation to a neuronal fate decision simulation model in Caenorhabditis elegans with hybrid functional Petri net with extension. Li C, Nagasaki M, Koh CH, Miyano S. Mol Biosyst; 2011 May 07; 7(5):1576-92. PubMed ID: 21373654 [Abstract] [Full Text] [Related]
17. An advanced environment for hybrid modeling of biological systems based on modelica. Pross S, Bachmann B. J Integr Bioinform; 2011 Jan 20; 8(1):. PubMed ID: 21248370 [Abstract] [Full Text] [Related]
18. Stochastic Petri Net extension of a yeast cell cycle model. Mura I, Csikász-Nagy A. J Theor Biol; 2008 Oct 21; 254(4):850-60. PubMed ID: 18703074 [Abstract] [Full Text] [Related]
19. Experiment design through dynamical characterisation of non-linear systems biology models utilising sparse grids. Donahue MM, Buzzard GT, Rundell AE. IET Syst Biol; 2010 Jul 21; 4(4):249-62. PubMed ID: 20632775 [Abstract] [Full Text] [Related]
20. Reduced modeling of signal transduction - a modular approach. Koschorreck M, Conzelmann H, Ebert S, Ederer M, Gilles ED. BMC Bioinformatics; 2007 Sep 13; 8():336. PubMed ID: 17854494 [Abstract] [Full Text] [Related] Page: [Next] [New Search]