648 related articles for article (PubMed ID: 18573813)
1. A structured approach for the engineering of biochemical network models, illustrated for signalling pathways.
Breitling R; Gilbert D; Heiner M; Orton R
Brief Bioinform; 2008 Sep; 9(5):404-21. PubMed ID: 18573813
[TBL] [Abstract][Full Text] [Related]
2. Computational methodologies for modelling, analysis and simulation of signalling networks.
Gilbert D; Fuss H; Gu X; Orton R; Robinson S; Vyshemirsky V; Kurth MJ; Downes CS; Dubitzky W
Brief Bioinform; 2006 Dec; 7(4):339-53. PubMed ID: 17116646
[TBL] [Abstract][Full Text] [Related]
3. A critical examination of stoichiometric and path-finding approaches to metabolic pathways.
Planes FJ; Beasley JE
Brief Bioinform; 2008 Sep; 9(5):422-36. PubMed ID: 18436574
[TBL] [Abstract][Full Text] [Related]
4. The Beta Workbench: a computational tool to study the dynamics of biological systems.
Dematté L; Priami C; Romanel A
Brief Bioinform; 2008 Sep; 9(5):437-49. PubMed ID: 18463130
[TBL] [Abstract][Full Text] [Related]
5. Cell++--simulating biochemical pathways.
Sanford C; Yip ML; White C; Parkinson J
Bioinformatics; 2006 Dec; 22(23):2918-25. PubMed ID: 17038347
[TBL] [Abstract][Full Text] [Related]
6. Reduced modeling of signal transduction - a modular approach.
Koschorreck M; Conzelmann H; Ebert S; Ederer M; Gilles ED
BMC Bioinformatics; 2007 Sep; 8():336. PubMed ID: 17854494
[TBL] [Abstract][Full Text] [Related]
7. On the use of qualitative reasoning to simulate and identify metabolic pathways.
King RD; Garrett SM; Coghill GM
Bioinformatics; 2005 May; 21(9):2017-26. PubMed ID: 15647297
[TBL] [Abstract][Full Text] [Related]
8. Reverse engineering of dynamic networks.
Stigler B; Jarrah A; Stillman M; Laubenbacher R
Ann N Y Acad Sci; 2007 Dec; 1115():168-77. PubMed ID: 17925347
[TBL] [Abstract][Full Text] [Related]
9. Algorithmic issues in reverse engineering of protein and gene networks via the modular response analysis method.
Berman P; Dasgupta B; Sontag E
Ann N Y Acad Sci; 2007 Dec; 1115():132-41. PubMed ID: 17925351
[TBL] [Abstract][Full Text] [Related]
10. Learning regulatory programs that accurately predict differential expression with MEDUSA.
Kundaje A; Lianoglou S; Li X; Quigley D; Arias M; Wiggins CH; Zhang L; Leslie C
Ann N Y Acad Sci; 2007 Dec; 1115():178-202. PubMed ID: 17934055
[TBL] [Abstract][Full Text] [Related]
11. Functional annotation of regulatory pathways.
Pandey J; Koyutürk M; Kim Y; Szpankowski W; Subramaniam S; Grama A
Bioinformatics; 2007 Jul; 23(13):i377-86. PubMed ID: 17646320
[TBL] [Abstract][Full Text] [Related]
12. Qualitative modelling of regulated metabolic pathways: application to the tryptophan biosynthesis in E.coli.
Simão E; Remy E; Thieffry D; Chaouiya C
Bioinformatics; 2005 Sep; 21 Suppl 2():ii190-6. PubMed ID: 16204102
[TBL] [Abstract][Full Text] [Related]
13. Investigating the dynamic behavior of biochemical networks using model families.
Haunschild MD; Freisleben B; Takors R; Wiechert W
Bioinformatics; 2005 Apr; 21(8):1617-25. PubMed ID: 15604106
[TBL] [Abstract][Full Text] [Related]
14. Data requirements of reverse-engineering algorithms.
Just W
Ann N Y Acad Sci; 2007 Dec; 1115():142-53. PubMed ID: 17925350
[TBL] [Abstract][Full Text] [Related]
15. Alternative pathway approach for automating analysis and validation of cell perturbation networks and design of perturbation experiments.
Gong Y; Zhang Z
Ann N Y Acad Sci; 2007 Dec; 1115():267-85. PubMed ID: 17925355
[TBL] [Abstract][Full Text] [Related]
16. Design and implementation of a tool for translating SBML into the biochemical stochastic pi-calculus.
Eccher C; Priami C
Bioinformatics; 2006 Dec; 22(24):3075-81. PubMed ID: 17046974
[TBL] [Abstract][Full Text] [Related]
17. Reconstructing signal transduction pathways: challenges and opportunities.
Levine AJ; Hu W; Feng Z; Gil G
Ann N Y Acad Sci; 2007 Dec; 1115():32-50. PubMed ID: 17934060
[TBL] [Abstract][Full Text] [Related]
18. Topological analysis of metabolic networks based on Petri net theory.
Zevedei-Oancea I; Schuster S
In Silico Biol; 2003; 3(3):323-45. PubMed ID: 12954094
[TBL] [Abstract][Full Text] [Related]
19. Parameter estimation using Simulated Annealing for S-system models of biochemical networks.
Gonzalez OR; Küper C; Jung K; Naval PC; Mendoza E
Bioinformatics; 2007 Feb; 23(4):480-6. PubMed ID: 17038344
[TBL] [Abstract][Full Text] [Related]
20. HEMET: mathematical model of biochemical pathways for simulation and prediction of HEpatocyte METabolism.
De Maria C; Grassini D; Vozzi F; Vinci B; Landi A; Ahluwalia A; Vozzi G
Comput Methods Programs Biomed; 2008 Oct; 92(1):121-34. PubMed ID: 18640740
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
