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Engineering control circuits for molecular robots using synthetic biology
The integration of molecular robots and synthetic biology allows for the creation of sophisticated behaviors at the molecular level. Similar to the synergy between bioelectronics and soft robotics, synthetic biology provides control circuitry for molecular robots. By encoding perception-action modul...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AIP Publishing LLC
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7560983/ https://www.ncbi.nlm.nih.gov/pubmed/33101786 http://dx.doi.org/10.1063/5.0020429 |
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author | Wei, Ting-Yen Ruder, Warren C. |
author_facet | Wei, Ting-Yen Ruder, Warren C. |
author_sort | Wei, Ting-Yen |
collection | PubMed |
description | The integration of molecular robots and synthetic biology allows for the creation of sophisticated behaviors at the molecular level. Similar to the synergy between bioelectronics and soft robotics, synthetic biology provides control circuitry for molecular robots. By encoding perception-action modules within synthetic circuits, molecular machines can advance beyond repeating tasks to the incorporation of complex behaviors. In particular, cell-free synthetic biology provides biomolecular circuitry independent of living cells. This research update reviews the current progress in using synthetic biology as perception-action control modules in robots from molecular robots to macroscale robots. Additionally, it highlights recent developments in molecular robotics and cell-free synthetic biology and suggests their combined use as a necessity for future molecular robot development. |
format | Online Article Text |
id | pubmed-7560983 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | AIP Publishing LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-75609832021-03-11 Engineering control circuits for molecular robots using synthetic biology Wei, Ting-Yen Ruder, Warren C. APL Mater Articles The integration of molecular robots and synthetic biology allows for the creation of sophisticated behaviors at the molecular level. Similar to the synergy between bioelectronics and soft robotics, synthetic biology provides control circuitry for molecular robots. By encoding perception-action modules within synthetic circuits, molecular machines can advance beyond repeating tasks to the incorporation of complex behaviors. In particular, cell-free synthetic biology provides biomolecular circuitry independent of living cells. This research update reviews the current progress in using synthetic biology as perception-action control modules in robots from molecular robots to macroscale robots. Additionally, it highlights recent developments in molecular robotics and cell-free synthetic biology and suggests their combined use as a necessity for future molecular robot development. AIP Publishing LLC 2020-10-01 /pmc/articles/PMC7560983/ /pubmed/33101786 http://dx.doi.org/10.1063/5.0020429 Text en © 2020 Author(s). 2166-532X/2020/8(10)/101104/11/$0.00 All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Articles Wei, Ting-Yen Ruder, Warren C. Engineering control circuits for molecular robots using synthetic biology |
title | Engineering control circuits for molecular robots using synthetic
biology |
title_full | Engineering control circuits for molecular robots using synthetic
biology |
title_fullStr | Engineering control circuits for molecular robots using synthetic
biology |
title_full_unstemmed | Engineering control circuits for molecular robots using synthetic
biology |
title_short | Engineering control circuits for molecular robots using synthetic
biology |
title_sort | engineering control circuits for molecular robots using synthetic
biology |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7560983/ https://www.ncbi.nlm.nih.gov/pubmed/33101786 http://dx.doi.org/10.1063/5.0020429 |
work_keys_str_mv | AT weitingyen engineeringcontrolcircuitsformolecularrobotsusingsyntheticbiology AT ruderwarrenc engineeringcontrolcircuitsformolecularrobotsusingsyntheticbiology |