Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Functional Classification of Genome-Scale Metabolic Networks | Hindawi Publishing Corporation EURASIP Journal on Bioinformatics and Systems Biology Volume 2009 Article ID 570456 13 pages doi 2009 570456 Research Article Functional Classification of Genome-Scale Metabolic Networks Oliver Ebenhoh1 2 and Thomas Handorf3 1 Max-Planck-Institute for Molecular Plant Physiology Systems Biology and Mathematical Modeling Group 14476Potsdam-Golm Germany 2 Institute for Biochemistry and Biology University of Potsdam 14469 Potsdam Germany 3 Institute for Biology Humboldt University 10115 Berlin Germany Correspondence should be addressed to Oliver Ebenhoh ebenhoeh@ Received 29 May 2008 Revised 5 August 2008 Accepted 26 November 2008 Recommended by Matthias Steinfath We propose two strategies to characterize organisms with respect to their metabolic capabilities. The first investigative strategy describes metabolic networks in terms of their capability to utilize different carbon sources resulting in the concept of carbon utilization spectra. In the second predictive approach minimal nutrient combinations are predicted from the structure of the metabolic networks resulting in a characteristic nutrient profile. Both strategies allow for a quantification of functional properties of metabolic networks allowing to identify groups of organisms with similar functions. We investigate whether the functional description reflects the typical environments of the corresponding organisms by dividing all species into disjoint groups based on whether they are aerotolerant and or photosynthetic. Despite differences in the underlying concepts both measures display some common features. Closely related organisms often display a similar functional behavior and in both cases the functional measures appear to correlate with the considered classes of environments. Carbon utilization spectra and nutrient profiles are complementary approaches toward a functional classification of organism-wide metabolic networks. Both approaches contain .
