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Institute for Systems Biology SPb is a SME (small or medium sized enterprise) specialized in predictive biosimulation. ISBSPb partners with global pharmaceutical and biotechnology companies worldwide to provide application of systems biology and modeling studies for pharmacology and biotechnology. In addition ISBSPb takes part in the scientific consortiums focused on research of actual biological problems with system biology methods. More detail information about such activities you could find at pages of our site describing our partners and investigations. At this section we describe basic types of research activities and services which could be realized with help of ISBSPb. Moreother, for explanation of several categories of services we have added into this section materials, which illustrate available activities in detail.
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In the Institute for Systems Biology SPb we have been developing kinetic models of E. coli metabolism for the last several years. Thus, we had made the first steps in this field in the 2000-2002 years, when the initial kinetic models of glycolysis, TCA cycle and biosynthesis of basic biochemical building blocks (such as amino acids, purine and pyrimidine nucleotides) had been developed. Further elaboration allowed us to increase our activity in the understanding of E. coli metabolism functioning and expanded a range of metabolic pathways which were taken into model account. By the present time we have developed kinetic models of more then 30 E. coli biochemical pathways and regulatory systems.
In this section of the website we represent several materials related to the E. coli metabolism modeling. Of course, it is a brief and incomplete description. However, we tried to stress an attention on the most obvious and interesting results of this large-scale modeling project. All these results are urged to accentuate the importance of systems biology modeling approaches for the investigation of the metabolism functioning and regulation.
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To what extent is industrial biotechnological process optimally designed? Do the biological entities (enzymes, cells) involved in the biotechnological process operate efficiently? What could be done to improve the efficacy? Answers to the questions are often not quite simple. Primarily, it is dictated by large-scale and expensive experimental investigations characterizing phenomenon from various positions. However, it is only one side of the problem because results of these investigations should be integrated in the sole description and correctly interpreted to address the questions posed.
 The first part of the problem does not usually cause any complications, because lots of experimental information characterizing different biotechnological subjects (strains, enzymes or fermenters) has been collected and published. However, the other part of the problem consisting of integration and interpretation of the data could have serious troubles. For address the issue we propose to apply methods of computational systems biology to analyze biotechnological experimental data.
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