Characterization of the synthetic biology-inspired implementation of a materials-based positive feedback loop

The translation of engineering designs to materials sciences by means of synthetic biological tools represents a novel concept for the development of information-processing materials systems. Here, we provide data on the mathematical model-guided implementation of a biomaterials-based positive feedb...

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Detalles Bibliográficos
Autores principales: Wagner, Hanna J., Engesser, Raphael, Ermes, Kathrin, Geraths, Christian, Timmer, Jens, Weber, Wilfried
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Proteomics and Biochemistry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5997908/
https://www.ncbi.nlm.nih.gov/pubmed/29900367
http://dx.doi.org/10.1016/j.dib.2018.05.074
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author Wagner, Hanna J.
Engesser, Raphael
Ermes, Kathrin
Geraths, Christian
Timmer, Jens
Weber, Wilfried
author_facet Wagner, Hanna J.
Engesser, Raphael
Ermes, Kathrin
Geraths, Christian
Timmer, Jens
Weber, Wilfried
author_sort Wagner, Hanna J.
collection PubMed
description The translation of engineering designs to materials sciences by means of synthetic biological tools represents a novel concept for the development of information-processing materials systems. Here, we provide data on the mathematical model-guided implementation of a biomaterials-based positive feedback loop for the detection of proteolytic activities. Furthermore, we present data on an extended system design for the detection of the antibiotic novobiocin. This work is related to the research article “Synthetic biology-inspired design of signal-amplifying materials systems” (Wagner et al., 2018) [1].
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spelling pubmed-59979082018-06-13 Characterization of the synthetic biology-inspired implementation of a materials-based positive feedback loop Wagner, Hanna J. Engesser, Raphael Ermes, Kathrin Geraths, Christian Timmer, Jens Weber, Wilfried Data Brief Proteomics and Biochemistry The translation of engineering designs to materials sciences by means of synthetic biological tools represents a novel concept for the development of information-processing materials systems. Here, we provide data on the mathematical model-guided implementation of a biomaterials-based positive feedback loop for the detection of proteolytic activities. Furthermore, we present data on an extended system design for the detection of the antibiotic novobiocin. This work is related to the research article “Synthetic biology-inspired design of signal-amplifying materials systems” (Wagner et al., 2018) [1]. Elsevier 2018-05-18 /pmc/articles/PMC5997908/ /pubmed/29900367 http://dx.doi.org/10.1016/j.dib.2018.05.074 Text en © 2018 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Proteomics and Biochemistry
Wagner, Hanna J.
Engesser, Raphael
Ermes, Kathrin
Geraths, Christian
Timmer, Jens
Weber, Wilfried
Characterization of the synthetic biology-inspired implementation of a materials-based positive feedback loop
title Characterization of the synthetic biology-inspired implementation of a materials-based positive feedback loop
title_full Characterization of the synthetic biology-inspired implementation of a materials-based positive feedback loop
title_fullStr Characterization of the synthetic biology-inspired implementation of a materials-based positive feedback loop
title_full_unstemmed Characterization of the synthetic biology-inspired implementation of a materials-based positive feedback loop
title_short Characterization of the synthetic biology-inspired implementation of a materials-based positive feedback loop
title_sort characterization of the synthetic biology-inspired implementation of a materials-based positive feedback loop
topic Proteomics and Biochemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5997908/
https://www.ncbi.nlm.nih.gov/pubmed/29900367
http://dx.doi.org/10.1016/j.dib.2018.05.074
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