Cargando…
Modelling amorphous computations with transcription networks
The power of electronic computation is due in part to the development of modular gate structures that can be coupled to carry out sophisticated logical operations and whose performance can be readily modelled. However, the equivalences between electronic and biochemical operations are far from obvio...
Autores principales: | , , , , |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2009
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2843957/ https://www.ncbi.nlm.nih.gov/pubmed/19474083 http://dx.doi.org/10.1098/rsif.2009.0014.focus |
_version_ | 1782179271860551680 |
---|---|
author | Simpson, Zack Booth Tsai, Timothy L. Nguyen, Nam Chen, Xi Ellington, Andrew D. |
author_facet | Simpson, Zack Booth Tsai, Timothy L. Nguyen, Nam Chen, Xi Ellington, Andrew D. |
author_sort | Simpson, Zack Booth |
collection | PubMed |
description | The power of electronic computation is due in part to the development of modular gate structures that can be coupled to carry out sophisticated logical operations and whose performance can be readily modelled. However, the equivalences between electronic and biochemical operations are far from obvious. In order to help cross between these disciplines, we develop an analogy between complementary metal oxide semiconductor and transcriptional logic gates. We surmise that these transcriptional logic gates might prove to be useful in amorphous computations and model the abilities of immobilized gates to form patterns. Finally, to begin to implement these computations, we design unique hairpin transcriptional gates and then characterize these gates in a binary latch similar to that already demonstrated by Kim et al. (Kim, White & Winfree 2006 Mol. Syst. Biol. 2, 68 (doi:10.1038/msb4100099)). The hairpin transcriptional gates are uniquely suited to the design of a complementary NAND gate that can serve as an underlying basis of molecular computing that can output matter rather than electronic information. |
format | Text |
id | pubmed-2843957 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-28439572010-04-02 Modelling amorphous computations with transcription networks Simpson, Zack Booth Tsai, Timothy L. Nguyen, Nam Chen, Xi Ellington, Andrew D. J R Soc Interface Articles The power of electronic computation is due in part to the development of modular gate structures that can be coupled to carry out sophisticated logical operations and whose performance can be readily modelled. However, the equivalences between electronic and biochemical operations are far from obvious. In order to help cross between these disciplines, we develop an analogy between complementary metal oxide semiconductor and transcriptional logic gates. We surmise that these transcriptional logic gates might prove to be useful in amorphous computations and model the abilities of immobilized gates to form patterns. Finally, to begin to implement these computations, we design unique hairpin transcriptional gates and then characterize these gates in a binary latch similar to that already demonstrated by Kim et al. (Kim, White & Winfree 2006 Mol. Syst. Biol. 2, 68 (doi:10.1038/msb4100099)). The hairpin transcriptional gates are uniquely suited to the design of a complementary NAND gate that can serve as an underlying basis of molecular computing that can output matter rather than electronic information. The Royal Society 2009-08-06 2009-05-27 /pmc/articles/PMC2843957/ /pubmed/19474083 http://dx.doi.org/10.1098/rsif.2009.0014.focus Text en © 2009 The Royal Society http://creativecommons.org/licenses/by/2.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Simpson, Zack Booth Tsai, Timothy L. Nguyen, Nam Chen, Xi Ellington, Andrew D. Modelling amorphous computations with transcription networks |
title | Modelling amorphous computations with transcription networks |
title_full | Modelling amorphous computations with transcription networks |
title_fullStr | Modelling amorphous computations with transcription networks |
title_full_unstemmed | Modelling amorphous computations with transcription networks |
title_short | Modelling amorphous computations with transcription networks |
title_sort | modelling amorphous computations with transcription networks |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2843957/ https://www.ncbi.nlm.nih.gov/pubmed/19474083 http://dx.doi.org/10.1098/rsif.2009.0014.focus |
work_keys_str_mv | AT simpsonzackbooth modellingamorphouscomputationswithtranscriptionnetworks AT tsaitimothyl modellingamorphouscomputationswithtranscriptionnetworks AT nguyennam modellingamorphouscomputationswithtranscriptionnetworks AT chenxi modellingamorphouscomputationswithtranscriptionnetworks AT ellingtonandrewd modellingamorphouscomputationswithtranscriptionnetworks |