Team:Evry/Modeling

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Modeling a tadpole: a multi-level approach


Modeling a system on a complete organism


This year, our team decided to tackle a challenging project: creating de-novo a new hormonal system in a vertebrate organism. In the modeling part of our work, we were interested in modeling the entire genetic and transport system in the host organism in order to undersatnd the system better as well as to give indications to guide the development of the system in the wet part of our work.


Modeling a system at the organism level is not an easy task at all. Various approaches and hypothesis have to be used depending on the scale you want to look at the system from. In our work, we used the entire combination of classical synthetic biology modeling techniques to look at the system from the organism to the molecular level, using analytical and modeling techniques involving biochemical models, diffusion and transport models using simultaneously and in conjunction Ordinary Differential Equations (ODEs), Partial Differential equations (PDEs) and Agent Based simulations (AB).

Preparing the work of the future generations on iGEMers working on complex organism


When writing down our work, we have made an especial effort for our models and hypothesis to be very understandable, in order help the work of the future generation of iGEMers working on tadpoles, and on multicellular organisms in general. You can access general informations on the models by clicking on the ODE, PDE and AB simulations on the image below, and all the instructions are provided for you to run our simulations either on your own computer or directely in your web browser (!) using the full power of the Java Applets created using the Netlogo program.

We hope our work will be useful for other to learn, enjoy and create new models for their projects in the future!

Summaries of our models


This schematic represents the different parts of the models we have created, as well as general information on the modeling methods used in these models. Clicks on the different elements of this image to access read the different models:


Here too:ode model

References:

  1. An introduction to agent-based modeling: Modeling natural, social and engineered complex systems with NetLogo, Wilensky, U., & Rand, W. (in press), Cambridge, MA: MIT Press