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High-Performance Biocomputing in Synthetic Biology–Integrated Transcriptional and Metabolic Circuits

Biocomputing uses molecular biology parts as the hardware to implement computational devices. By following pre-defined rules, often hard-coded into biological systems, these devices are able to process inputs and return outputs—thus computing information. Key to the success of any biocomputing endea...

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Autores principales: Goñi-Moreno, Angel, Nikel, Pablo I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6421265/
https://www.ncbi.nlm.nih.gov/pubmed/30915329
http://dx.doi.org/10.3389/fbioe.2019.00040
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author Goñi-Moreno, Angel
Nikel, Pablo I.
author_facet Goñi-Moreno, Angel
Nikel, Pablo I.
author_sort Goñi-Moreno, Angel
collection PubMed
description Biocomputing uses molecular biology parts as the hardware to implement computational devices. By following pre-defined rules, often hard-coded into biological systems, these devices are able to process inputs and return outputs—thus computing information. Key to the success of any biocomputing endeavor is the availability of a wealth of molecular tools and biological motifs from which functional devices can be assembled. Synthetic biology is a fabulous playground for such purpose, offering numerous genetic parts that allow for the rational engineering of genetic circuits that mimic the behavior of electronic functions, such as logic gates. A grand challenge, as far as biocomputing is concerned, is to expand the molecular hardware available beyond the realm of genetic parts by tapping into the host metabolism. This objective requires the formalization of the interplay of genetic constructs with the rest of the cellular machinery. Furthermore, the field of metabolic engineering has had little intersection with biocomputing thus far, which has led to a lack of definition of metabolic dynamics as computing basics. In this perspective article, we advocate the conceptualization of metabolism and its motifs as the way forward to achieve whole-cell biocomputations. The design of merged transcriptional and metabolic circuits will not only increase the amount and type of information being processed by a synthetic construct, but will also provide fundamental control mechanisms for increased reliability.
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spelling pubmed-64212652019-03-26 High-Performance Biocomputing in Synthetic Biology–Integrated Transcriptional and Metabolic Circuits Goñi-Moreno, Angel Nikel, Pablo I. Front Bioeng Biotechnol Bioengineering and Biotechnology Biocomputing uses molecular biology parts as the hardware to implement computational devices. By following pre-defined rules, often hard-coded into biological systems, these devices are able to process inputs and return outputs—thus computing information. Key to the success of any biocomputing endeavor is the availability of a wealth of molecular tools and biological motifs from which functional devices can be assembled. Synthetic biology is a fabulous playground for such purpose, offering numerous genetic parts that allow for the rational engineering of genetic circuits that mimic the behavior of electronic functions, such as logic gates. A grand challenge, as far as biocomputing is concerned, is to expand the molecular hardware available beyond the realm of genetic parts by tapping into the host metabolism. This objective requires the formalization of the interplay of genetic constructs with the rest of the cellular machinery. Furthermore, the field of metabolic engineering has had little intersection with biocomputing thus far, which has led to a lack of definition of metabolic dynamics as computing basics. In this perspective article, we advocate the conceptualization of metabolism and its motifs as the way forward to achieve whole-cell biocomputations. The design of merged transcriptional and metabolic circuits will not only increase the amount and type of information being processed by a synthetic construct, but will also provide fundamental control mechanisms for increased reliability. Frontiers Media S.A. 2019-03-11 /pmc/articles/PMC6421265/ /pubmed/30915329 http://dx.doi.org/10.3389/fbioe.2019.00040 Text en Copyright © 2019 Goñi-Moreno and Nikel. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Bioengineering and Biotechnology
Goñi-Moreno, Angel
Nikel, Pablo I.
High-Performance Biocomputing in Synthetic Biology–Integrated Transcriptional and Metabolic Circuits
title High-Performance Biocomputing in Synthetic Biology–Integrated Transcriptional and Metabolic Circuits
title_full High-Performance Biocomputing in Synthetic Biology–Integrated Transcriptional and Metabolic Circuits
title_fullStr High-Performance Biocomputing in Synthetic Biology–Integrated Transcriptional and Metabolic Circuits
title_full_unstemmed High-Performance Biocomputing in Synthetic Biology–Integrated Transcriptional and Metabolic Circuits
title_short High-Performance Biocomputing in Synthetic Biology–Integrated Transcriptional and Metabolic Circuits
title_sort high-performance biocomputing in synthetic biology–integrated transcriptional and metabolic circuits
topic Bioengineering and Biotechnology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6421265/
https://www.ncbi.nlm.nih.gov/pubmed/30915329
http://dx.doi.org/10.3389/fbioe.2019.00040
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