By Joao Carlos Setubal, Sergio Verjovski-Almeida

This publication constitutes the refereed lawsuits of the Brazilian Symposium on Bioinformatics, BSB 2005, held in Sao Leopoldo, Brazil in July 2005.

The 15 revised complete papers and 10 revised prolonged abstracts provided including three invited papers have been conscientiously reviewed and chosen from fifty five submissions. The papers deal with a huge diversity of present themes in computational biology and bioinformatics.

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Additional info for Advances in Bioinformatics and Computational Biology: Brazilian Symposium on Bioinformatics, BSB 2005, Sao Leopoldo, Brazil, July 27-29, 2005, Proceedings

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13, 361-367. 5. Nigam, R. and Liang, S. (2004) Thermodynamic Feasibility of Metabolic Networks, International Conference on Bioinformatics and its Applications, Fort Lauderdale, USA. 6. Oster, G. , Perelson, A. S. and Katchalsky, A. (1973) Network thermodynamics: Dynamic Modelling of Biophysical Systems, Quart. Rev. Biophys. 6, 1-134. 7. Papin, J. , Price, N. , Wiback, S. , Fell, D. A. and Palsson, B. O. (2003) Metabolic Pathways in the Post-genome Era, Trends in Biochemical Sciences 28, 250-258.

Reed, J. , Vo, T. , Schilling, C. H. and Palsson, B. O. 12. 11. Strang, G. (2003) Introduction to Linear Algebra, Wellesley-Cambridge Press, Wellesley, MA. 12. , Aristidou, A. and Nielsen, J. (1998) Metabolic Engineering: Principles and Applications, Academic Press, San Diego, CA. 13. , and Palsson, B. O. (1994) Stoichiometric Flux Balance Models Quantitatively Predict Growth and Metabolic By-Product Secretion in Wild Type Escherichia coli W3110, Appl. Environ. Microbiol. 60, 3724-3731. F. de Carvalho Instituto de Ciˆencias Matem´ aticas e de Computa¸c˜ ao (ICMC), Universidade de S˜ ao Paulo (USP), Av.

The reaction network contains 19 metabolites linked by 23 reactions (Figure 1 [4]). Out of these 23 fluxes, 3 are external or boundary fluxes and 20 are internal fluxes. The network takes glucose as input and produces acetate and carbon dioxide. We applied our algorithm to maximize the production of biomass, which is a linear combination of the different fluxes with experimentally determined stoichiometric coefficients. In the FBA optimization the internal fluxes are unrestricted and only satisfy the flux balance constraint.

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