Simple Intrinsic Simulation of Cellular Automata in Oritatami Molecular Folding Model

8Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The Oritatami model was introduced by Geary et al. (2016) to study the computational potential of RNA cotranscriptional folding as first shown in wet-lab experiments by Geary et al. (Science 2014). In the Oritatami model, a molecule grows component by component (named beads) into the triangular grid and folds as it grows. More precisely, the δ last nascent beads are free to move and adopt the positions that maximize the number of bonds with the current folded structure. Geary et al. (2018) proved that the Oritatami model is capable of efficient Turing universal computation using a complicated construction that simulates Turing machines via tag systems. We propose here a simple Oritatami system which intrinsically simulates arbitrary 1D cellular automata. Being intrinsic, our simulation emulates the behavior of cellular automata in a readable way and in time linear in space and time of the simulated automaton. The Oritatami model has proven to be a fruitful framework to study molecular reconfigurability. Our construction relies on the development of new mechanisms which are simple enough that we believe that some simplification of them may be implemented in the wet lab. An implementation of our construction can be downloaded for testing.

Cite

CITATION STYLE

APA

Pchelina, D., Schabanel, N., Seki, S., & Ubukata, Y. (2020). Simple Intrinsic Simulation of Cellular Automata in Oritatami Molecular Folding Model. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12118 LNCS, pp. 425–436). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-61792-9_34

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free