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DNA as a vehicle for the self-assembly model of computing

DNA as a vehicle for the self-assembly model of computing
DNA as a vehicle for the self-assembly model of computing
A DNA version of the self-assembly model of computing, feasible using currently available laboratory techniques, is proposed. Input signals are coded into unmethylated and methylated oligonucleotides which then hybridize with a backbone that contains complementary sequences. Different input signal patterns are thus represented as DNA duplexes with distinctly different conformational dynamics, in particular different equilibria of B and Z DNA. The pattern classification activity of the system is mediated by the interactions that lead to the secondary structural organization. Circular dichroism may be used for readout.
DNA computing, Self-assembly, Conformational dynamics, Pattern recognition, Molecular computing
59-66
Conrad, M.
5b4c1f50-0b05-4e39-abc5-8cab4e408ac8
Zauner, K.-P.
c8b22dbd-10e6-43d8-813b-0766f985cc97
Conrad, M.
5b4c1f50-0b05-4e39-abc5-8cab4e408ac8
Zauner, K.-P.
c8b22dbd-10e6-43d8-813b-0766f985cc97

Conrad, M. and Zauner, K.-P. (1998) DNA as a vehicle for the self-assembly model of computing. BioSystems, 45 (1), 59-66.

Record type: Article

Abstract

A DNA version of the self-assembly model of computing, feasible using currently available laboratory techniques, is proposed. Input signals are coded into unmethylated and methylated oligonucleotides which then hybridize with a backbone that contains complementary sequences. Different input signal patterns are thus represented as DNA duplexes with distinctly different conformational dynamics, in particular different equilibria of B and Z DNA. The pattern classification activity of the system is mediated by the interactions that lead to the secondary structural organization. Circular dichroism may be used for readout.

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More information

Published date: 1998
Keywords: DNA computing, Self-assembly, Conformational dynamics, Pattern recognition, Molecular computing
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 259026
URI: https://eprints.soton.ac.uk/id/eprint/259026
PURE UUID: 90bf0705-54c7-45c7-b481-ea07a5fc5ced

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Date deposited: 12 Mar 2004
Last modified: 18 Jul 2017 09:26

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