Modeling of Mycobacterium tuberculosis energy metabolism

It is generally known that by the present time tuberculosis is one of the most dangerous decease. Thus, as the statistics says 2 million people  die each year from tuberculosis. This fact shows that a development of novel antibiotics is urgently needed, which will be more effective in tuberculosis  therapy. In spite of the fact, that causative agent of this disease, bacterium Mycobacterium tuberculosis, had been described  very long ago, the problem of effective antituberculosis antibiotics still exists. It is cased by the fact that life cycle and specific properties  of this bacteria impede action of most part of existing antibiotics. In a such case we suggest to use a model approach for a development of new drugs and prediction of novel drug targets.

AIM OF THE PROJECT:

  • to develop a kinetic model of Mycobacterium tuberculosis energy metabolism;
  • to understand using model predictions and bifurcation analysis how level of inhibition of different enzymes can influence its homeostasis and switch between metabolic states.

MAIN RESULTS

Tuber_1 Result 1. Kinetic model of TCA cycle in Mycobacterium tuberculosis has been developed and validated against different types of available experimental data.
Tuber_2 Result 2. Based on the model predictions and results of bifurcation analysis levels of inhibitions of Malate Synthase and Isocitrate Liase (enzymes of glyoxilate bypass) sufficient for loss of stability of steady state have been estimated.
 

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