Modelling, designing and simulating living systems with BlenX

Technology and Medical Sciences - TMSi 2010

Volumn , Issue , 2011, Pages 3-13

  Lecca, P ^a,b  

^a UNIVERSITY OF TRENTO   (Italy)

^b Centre for Computational and Systems Biology   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85059396699     PISSN: None     EISSN: None     Source Type: Book    
DOI: None     Document Type: Chapter

References (12)

1. Bellomo, N. (2008). Modelling complex living systems. A kinetic theory and stochastic game approach. Birkhaeuser
2. Dematté, L., Priami, C. & Romanel, A. (2008a). The beta workbench: a computational tool to study the dynamics of biological systems. Briefings in Bioinformatics 9(5), 437-448
3. Dematté, L., Priami, C. & Romanel, A. (2008b). The blenx language: A tutorial. SFM 2008 LNCS 5016, 313-365
4. Ferreon, F.C.M., Gambin, Y., Lemke, E.A. & Deniz, A.A. (2009, April). Interpaly of a-synuclein binding and confromational switching probed by single-molecule fluorescence. PNAS 106, 5645-5650
5. Gillespie, D.T. (1977). Exact stochastic simulation of coupled chemical reactions. The Journal of Physical Chemistry 81(25), 2340-2361
6. http://www.cosbi.eu/index.php/research/prototypes/ overview
7. Lang, A.E. & Lozano, A.M. (1998). Parkinson's disease-first of two parts. The New England Journal of Medicine 339(15), 1044-1053
8. Livi, C.M. (2009). Modelling and simulating ecological networks with blenx. the food web of prince william sound: a case study. Master's thesis, Alma Mater Studiorum-University of Bologna, Italy
9. Olanow, C.W. & McNaught, K.S.P. (2006). Ubiquitinproteasome system and parkinson's disease. Movement Disorders 21(11), 1806-1823
10. Priami, C. (1995). Stochastic p-calculus. The Computer Journal 38(6), 578-589
11. Priami, C. (2009). Algorithmic systems biology. Communications of the ACM 52, 80-88
12. Vila, M. & Przedborski, S. (2004, July). Genetic clues to the pathogenesis of parkinson's disease. Nature Medicine, 58-62