A game-of-life like simulator for design-oriented modeling of BioBricks in synthetic biology.

Annu Int Conf IEEE Eng Med Biol Soc

Institut d’Electronique du Solide et des Systèmes (InESS Institute of Electronics for Solids and Systems), Université de Strasbourg (Unistra) and the Centre National de Recherches Scientifiques (CNRS), UMR7163, Strasbourg, France.

Published: July 2013

AI Article Synopsis

  • The paper introduces a new simulator designed to improve the accuracy of predictive models for BioBricks in synthetic biology.
  • The simulator employs a grid-based system inspired by the game-of-life, where molecules interact based on defined binding and dissociation rules.
  • A preliminary version, created in MATLAB, has successfully demonstrated noteworthy results, including insights into Hill's equation and its coefficient properties.

Article Abstract

This paper deals with the development of a new simulator that will be very helpful to establish new accurate and predictive design-oriented models for the BioBricks used in synthetic biology. The simulator uses the principle of the game-of-life: molecules can move on a grid and, at every iteration, binding and dissociation rules are applied when two molecules are on same node. The principle is elementary but it can highlight interesting biological phenomenon. Those can be modeled by mathematical equations to achieve design-oriented models. In this case, the simulator also helps to make to link between mathematical parameters and the microscopic parameters. A first version of the software has been implemented in MATLAB. It permits to retrieve very interesting results, such as the Hill's equation and the properties of Hill's coefficient.

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Source
http://dx.doi.org/10.1109/EMBC.2012.6347230DOI Listing

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