User:Luis De Jesus Martinez
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Luis de Jesús Martínez Lomeli
- Undergraduate Mathematics Student at the University of Mexico (UNAM)
- Member of the UNAM-IPN iGEM team
My main interest in the field of the Synthetic Biology is based on the mathematical modeling of new biological systems that the synthetic biology can proporcionate. I am specially interested in the Stochastic π Calculus (SPi), a new tool which in first instance (the π-Calculus) was thought to resolve concurrent problems in computer science, but in this case the Stochastic π Calculus is implemented modeling biological systems. This formal language has some advantages against the deterministic models based on ODE's or ODP's; the stochastic component give a better grade of accuracy for create different types of models. Andrew Phillips and Luca Cardelli designed a simulation algorithm (Stochastic π-Machine, SPiM) for the stochastic π-calculus based on standard theory of chemical kinetics [Gillespie 1977] where the probability of a reaction is proportional to the rate of the reaction times the number of reactants. In this simulator I have implemented my models and some of my results have give us an importat approach about how we will able to see the results at the lab(if the model was right).
The use of the SPi as a main tool to create my models has motivated myself because this formal language is not so known as the ODE's and I hope that some of my results could lead, at least in the iGEM, a different and very interesting new point of view since the most common ways of modeling.
- iGEM México
Since 2006 our team was focused in the nature patterns, My work in the team is focus in the modeling of biological processes, in specific a kind of oscillator that my teammate Federico designed for the last jamboree (November 2007).
The model was done in Stochastic Pi Calculus (SPi)and implemented in the Stochastic Pi Machine(SPiM), a simulator that was developed by Andrew Phillips.
The results of the simulation gave us an idea about how we should expect to see the GFP and RFP be expressed in the lab.
Last updated January/14/2008