Affiliations: [a] Dipartimento di Informatica, Università di Pisa, Italy. [email protected] | [b] Dipartimento di Informatica, Università di Pisa, Italy. [email protected] | [c] Dipartimento di Informatica, Università di Pisa, Italy. [email protected] | [d] Department of Applied Informatics, Comenius University in Bratislava, Slovak Republic. [email protected] | [e] Dipartimento di Informatica, Università di Pisa, Italy. [email protected] | [f] Dipartimento di Informatica, Università di Pisa, Italy. [email protected]
Correspondence:
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Address for correspondence: Dipartimento di Informatica, Università di Pisa, Italy
Abstract: Gene regulatory networks represent the interactions among genes regulating the activation of specific cell functionalities and they have been successfully modeled using threshold Boolean networks. In this paper we propose a systematic translation of threshold Boolean networks into reaction systems. Our translation produces a non redundant set of rules with a minimal number of objects. This translation allows us to simulate the behavior of a Boolean network simply by executing the (closed) reaction system we obtain. This can be very useful for investigating the role of different genes simply by “playing” with the rules. We developed a tool able to systematically translate a threshold Boolean network into a reaction system. We use our tool to translate two well known Boolean networks modelling biological systems: the yeast-cell cycle and the SOS response in Escherichia coli. The resulting reaction systems can be used for investigating dynamic causalities among genes.
