Electronic Proceedings in Theoretical Computer Science (Dec 2016)

A Graph Grammar for Modelling RNA Folding

  • Adane Letta Mamuye,
  • Emanuela Merelli,
  • Luca Tesei

DOI
https://doi.org/10.4204/EPTCS.231.3
Journal volume & issue
Vol. 231, no. Proc. GaM 2016
pp. 31 – 41

Abstract

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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.