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GSMN-TB: a web-based genome-scale network model of <Emphasis Type="Italic">Mycobacterium tuberculosis</Emphasis>metabolism |
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| Authors: | Dany JV Beste Tracy Hooper Graham Stewart Bhushan Bonde Claudio Avignone-Rossa Michael E Bushell Paul Wheeler Steffen Klamt Andrzej M Kierzek Johnjoe McFadden |
| Institution: | (1) School of Biomedical and Molecular Sciences, University of Surrey, Stag Hill, Guildford, Surrey, GU2 7XH, UK;(2) Tuberculosis Research Group, Veterinary Laboratories Agency (Weybridge), New Haw, Addlestone, KT15 3NB, UK;(3) Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstrasse, D-39106 Magdeburg, Germany |
| Abstract: | BackgroundAn impediment to the rational development of novel drugs against tuberculosis (TB) is a general paucity of knowledge concerning the metabolism of Mycobacterium tuberculosis, particularly during infection. Constraint-based modeling provides a novel approach to investigating microbial metabolism but has not yet been applied to genome-scale modeling of M. tuberculosis. |
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