Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học quốc tế cung cấp cho các bạn kiến thức về ngành y đề tài: Disruption of cell wall fatty acid biosynthesis in Mycobacterium tuberculosis using a graph theoretic approach. | Baths et al. Theoretical Biology and Medical Modelling 2011 8 5 http content 8 1 5 THEORETICAL BIOLOGY AND MEDICAL MODELLING RESEARCH Open Access Disruption of cell wall fatty acid biosynthesis in Mycobacterium tuberculosis using a graph theoretic approach Veeky Baths1 Utpal Roy1 and Tarkeshwar Singh2 Correspondence veeky_baths@ department of Biological Sciences Birla Institute of Technology Science BITS Pilani K K BIRLA Goa Campus Goa 403 726 India Full list of author information is available at the end of the article BioMed Central Abstract Fatty acid biosynthesis of Mycobacterium tuberculosis was analyzed using graph theory and influential impacting proteins were identified. The graphs digraphs representing this biological network provide information concerning the connectivity of each protein or metabolite in a given pathway providing an insight into the importance of various components in the pathway and this can be quantitatively analyzed. Using a graph theoretic algorithm the most influential set of proteins sets of 1 2 3 etc. which when eliminated could cause a significant impact on the biosynthetic pathway were identified. This set of proteins could serve as drug targets. In the present study the metabolic network of Mycobacterium tuberculosis was constructed and the fatty acid biosynthesis pathway was analyzed for potential drug targeting. The metabolic network was constructed using the KEGG LIGAND database and subjected to graph theoretical analysis. The nearness index of a protein was used to determine the influence of the said protein on other components in the network allowing the proteins in a pathway to be ordered according to their nearness indices. A method for identifying the most strategic nodes to target for disrupting the metabolic networks is proposed aiding the development of new drugs to combat this deadly disease. Background The complete genome sequence of the best-characterized strain of Mycobacterium .
