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Systems Biology of Tuberculosis by Neema Jamshidi, Aarash Bordbar, Bernhard Palsson (auth.),

By Neema Jamshidi, Aarash Bordbar, Bernhard Palsson (auth.), Johnjoe McFadden, Dany J.V. Beste, Andrzej M. Kierzek (eds.)

The ebook begins with a normal creation into the relevance of platforms biology for knowing tuberculosis. it will be via a number of chapters which describe the appliance of structures biology to numerous elements of the learn of the pathogen, Mycobacterium tuberculosis, and its interplay with the host. The publication presents the reader with an account of ways the recent technological know-how of structures biology is offering novel insights into the traditional scourge of tuberculosis. it is going to additionally describe how platforms biology could be utilized to the keep an eye on of tuberculosis, together with the improvement of recent remedies, vaccines and diagnostics.

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Kummel A, Panke S, Heinemann M (2006) Systematic assignment of thermodynamic constraints in metabolic network models. BMC Bioinformatics 7:512 15. Famili I, Mahadevan R, Palsson BO (2005) k-Cone analysis: determining all candidate values for kinetic parameters on a network scale. Biophys J 88(3):1616–1625 16. Holzhutter HG (2004) The principle of flux minimization and its application to estimate stationary fluxes in metabolic networks. Eur J biochem/FEBS 271(14):2905–2922 17. Jamshidi N, Palsson BO (2010) Mass action stoichiometric simulation models: incorporating kinetics and regulation into stoichiometric models.

59. 60. 61. 62. N. Jamshidi et al. in macrophages and mice requires the glyoxylate shunt enzyme isocitrate lyase. Nature 406(6797):735–738 Schnappinger D, Ehrt S, Voskuil MI, Liu Y, Mangan JA, Monahan IM, Dolganov G, Efron B, Butcher PD, Nathan C, Schoolnik GK (2003) Transcriptional adaptation of Mycobacterium tuberculosis within macrophages: insights into the phagosomal environment. J Exp Med 198(5):693–704 Sassetti CM, Boyd DH, Rubin EJ (2003) Genes required for mycobacterial growth defined by high density mutagenesis.

Based on the integrated curation platform, systematic workflow was employed in close global partnership between India and Japan teams, to collect, mine, construct, annotate, and publish the metabolic map, as outlined in Fig. 4. A project-wide distributed reconstruction has been tested using CellDesigner network editing software [18] that was provided by the Systems Biology Institute, Tokyo, Japan, as a part of agreement with CSIR. Participants used Google documents to collect and curate data on the metabolic reactions of Mtb following standard operating protocols and manuals in data format amenable for programmatic processing.

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