A Graph Grammar for Modelling RNA Folding

Adane Letta Mamuye
(School of Science and Technology, University of Camerino) 		Emanuela Merelli
(School of Science and Technology, University of Camerino) 		Luca Tesei
(School of Science and Technology, University of Camerino)

We propose a new approach for modelling the process of RNA folding as a graph transformation guided by the global value of free energy. Since the folding process evolves towards a configuration in which the free energy is minimal, the global behaviour resembles the one of a self-adaptive system. Each RNA configuration is a graph and the evolution of configurations is constrained by precise rules that can be described by a graph grammar.

In Alexander Heußner, Aleks Kissinger and Anton Wijs: Proceedings Second Graphs as Models Workshop (GaM 2016), Eindhoven, The Netherlands, April 2-3, 2016, Electronic Proceedings in Theoretical Computer Science 231, pp. 31–41.
Published: 4th December 2016.
ArXived at: https://dx.doi.org/10.4204/EPTCS.231.3 bibtex PDF
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