The University of Southampton
University of Southampton Institutional Repository

Nucleic acid enzymes: The fusion of self-assembly and conformational computing

Ramlan, E. I. and Zauner, K.-P. (2009) Nucleic acid enzymes: The fusion of self-assembly and conformational computing International Journal of Unconventional Computing, 5, (2), pp. 165-189.

Record type: Article


Macromolecules are the predominant physical substrate sup-porting information processing in organisms. Two key characteristics—conformational dynamics and self-assembly properties—render macro-molecules unique in this context. Both characteristics have been investigated for technical applications. In nature’s information processors self-assembly and conformational switching commonly appear in combination and are typically realised with proteins. At the current state of biotechnology the best candidates for implementing artificial molecular information processing systems that utilise the combination self-assembly and conformational switching are functional nucleic acids. The increasingly realised prevalence of oligonucleotides in intracellular control points towards potential applications. The present paper reviews approaches to integrating the self-assembly and the conformational paradigm with allosterically controlled nucleic acid enzymes. It also introduces a new computational workflow to design functional nucleic acids for information processing.

PDF RamlanEI09NucAcidEnz.pdf - Other
Download (553kB)

More information

Published date: 2009
Keywords: Molecular Computing, RNA, DNA, allosteric nucleic acids, ribozymes
Organisations: Agents, Interactions & Complexity


Local EPrints ID: 267293
PURE UUID: b05180ec-ef5c-4095-9dff-ca3e012b11e3

Catalogue record

Date deposited: 23 Apr 2009 16:00
Last modified: 24 Jul 2017 16:41

Export record


Author: E. I. Ramlan
Author: K.-P. Zauner

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton:

ePrints Soton supports OAI 2.0 with a base URL of

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.