Team:LCG-UNAM-Mexico
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Bacteriophage infection represents an interesting process in microbiology and industry. The idea of being able to contend at a population level with such infections is the main motivation for the development of our project.<br> | Bacteriophage infection represents an interesting process in microbiology and industry. The idea of being able to contend at a population level with such infections is the main motivation for the development of our project.<br> | ||
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We implemented a stochastic [[Team:LCG-UNAM-Mexico: | multi-scale model]]. The model will simulate the behaviour at the intracellular scale using [[Team:LCG-UNAM-Mexico:Molecular model | stochastic molecular simulations]] and at the populations scale using a [[Team:LCG-UNAM-Mexico:CA | Cellular Automata]] and a [[Team:LCG-UNAM-Mexico:odes | system of ODE's]]. <br> Simulations results are in good agreement with existing experimental data. Thanks to the structure and design of the model this can be easily modified in order to simulate infection dynamics for different bacteria and phages. Furthermore, our Molecular model can be used as a reliable tool for sampling biomolecules distributions involved in phage infection processes. <br> | We implemented a stochastic [[Team:LCG-UNAM-Mexico: | multi-scale model]]. The model will simulate the behaviour at the intracellular scale using [[Team:LCG-UNAM-Mexico:Molecular model | stochastic molecular simulations]] and at the populations scale using a [[Team:LCG-UNAM-Mexico:CA | Cellular Automata]] and a [[Team:LCG-UNAM-Mexico:odes | system of ODE's]]. <br> Simulations results are in good agreement with existing experimental data. Thanks to the structure and design of the model this can be easily modified in order to simulate infection dynamics for different bacteria and phages. Furthermore, our Molecular model can be used as a reliable tool for sampling biomolecules distributions involved in phage infection processes. <br> | ||
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Latest revision as of 01:15, 22 October 2009