Team:LCG-UNAM-Mexico:BSD
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Results by Yin,2002 suggested an efficient way to reduce phage cycle efficieny: "...phage growth was found to be most sensitive to the host translation machinery, specifically, the level and elongation rate of the ribosomes."<br> | Results by Yin,2002 suggested an efficient way to reduce phage cycle efficieny: "...phage growth was found to be most sensitive to the host translation machinery, specifically, the level and elongation rate of the ribosomes."<br> | ||
- | We added to our [[Team:LCG-UNAM-Mexico:WTM | Wild type Molecular Model]] the action of colicin E3 (rRNAsa): cleavage of rRNA of 16s subunit of the ribosome. | + | We added to our [[Team:LCG-UNAM-Mexico:WTM | Wild type Molecular Model]] the action of colicin E3 (rRNAsa): cleavage of rRNA of 16s subunit of the ribosome. We couldn't find the rate of this reaction in the literature so we decided to perform a sensitivity analysis: change the reaction rate over a wide range of values and see wether the burst size is reduced significantly or not.<br> |
The image on the right shows the results of the sensitivity analysis: Burst Size was reduced to 0 when the ribosome inactivation rate takes vales greater or equal than 10e-4. When the rate inactivation is 10e-5 the mean burst size is 5.8,[[Team:LCG-UNAM-Mexico:CA | Cellular Automata simulations]] showed that with this burst size the population of bacteria survived the infection process. For values of the mean burst size greater that 10 bacteria population dies (see the Cellular Automata section for details in population dynamics). | The image on the right shows the results of the sensitivity analysis: Burst Size was reduced to 0 when the ribosome inactivation rate takes vales greater or equal than 10e-4. When the rate inactivation is 10e-5 the mean burst size is 5.8,[[Team:LCG-UNAM-Mexico:CA | Cellular Automata simulations]] showed that with this burst size the population of bacteria survived the infection process. For values of the mean burst size greater that 10 bacteria population dies (see the Cellular Automata section for details in population dynamics). | ||
Revision as of 23:01, 21 October 2009