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BioNetCAD: design, simulation and experimental validation of synthetic biochemical networks

Motivation: Synthetic biology studies how to design and construct biological systems with functions that do not exist in nature. Biochemical networks, although easier to control, have been used less frequently than genetic networks as a base to build a synthetic system. To date, no clear engineering...

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Detalles Bibliográficos
Autores principales: Rialle, Stéphanie, Felicori, Liza, Dias-Lopes, Camila, Pérès, Sabine, El Atia, Sanaâ, Thierry, Alain R., Amar, Patrick, Molina, Franck
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2935418/
https://www.ncbi.nlm.nih.gov/pubmed/20628073
http://dx.doi.org/10.1093/bioinformatics/btq409
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author Rialle, Stéphanie
Felicori, Liza
Dias-Lopes, Camila
Pérès, Sabine
El Atia, Sanaâ
Thierry, Alain R.
Amar, Patrick
Molina, Franck
author_facet Rialle, Stéphanie
Felicori, Liza
Dias-Lopes, Camila
Pérès, Sabine
El Atia, Sanaâ
Thierry, Alain R.
Amar, Patrick
Molina, Franck
author_sort Rialle, Stéphanie
collection PubMed
description Motivation: Synthetic biology studies how to design and construct biological systems with functions that do not exist in nature. Biochemical networks, although easier to control, have been used less frequently than genetic networks as a base to build a synthetic system. To date, no clear engineering principles exist to design such cell-free biochemical networks. Results: We describe a methodology for the construction of synthetic biochemical networks based on three main steps: design, simulation and experimental validation. We developed BioNetCAD to help users to go through these steps. BioNetCAD allows designing abstract networks that can be implemented thanks to CompuBioTicDB, a database of parts for synthetic biology. BioNetCAD enables also simulations with the HSim software and the classical Ordinary Differential Equations (ODE). We demonstrate with a case study that BioNetCAD can rationalize and reduce further experimental validation during the construction of a biochemical network. Availability and implementation: BioNetCAD is freely available at http://www.sysdiag.cnrs.fr/BioNetCAD. It is implemented in Java and supported on MS Windows. CompuBioTicDB is freely accessible at http://compubiotic.sysdiag.cnrs.fr/ Contact: stephanie.rialle@sysdiag.cnrs.fr; franck.molina@sysdiag.cnrs.fr Supplementary information: Supplementary data are available at Bioinformatics online.
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spelling pubmed-29354182010-09-08 BioNetCAD: design, simulation and experimental validation of synthetic biochemical networks Rialle, Stéphanie Felicori, Liza Dias-Lopes, Camila Pérès, Sabine El Atia, Sanaâ Thierry, Alain R. Amar, Patrick Molina, Franck Bioinformatics Original Papers Motivation: Synthetic biology studies how to design and construct biological systems with functions that do not exist in nature. Biochemical networks, although easier to control, have been used less frequently than genetic networks as a base to build a synthetic system. To date, no clear engineering principles exist to design such cell-free biochemical networks. Results: We describe a methodology for the construction of synthetic biochemical networks based on three main steps: design, simulation and experimental validation. We developed BioNetCAD to help users to go through these steps. BioNetCAD allows designing abstract networks that can be implemented thanks to CompuBioTicDB, a database of parts for synthetic biology. BioNetCAD enables also simulations with the HSim software and the classical Ordinary Differential Equations (ODE). We demonstrate with a case study that BioNetCAD can rationalize and reduce further experimental validation during the construction of a biochemical network. Availability and implementation: BioNetCAD is freely available at http://www.sysdiag.cnrs.fr/BioNetCAD. It is implemented in Java and supported on MS Windows. CompuBioTicDB is freely accessible at http://compubiotic.sysdiag.cnrs.fr/ Contact: stephanie.rialle@sysdiag.cnrs.fr; franck.molina@sysdiag.cnrs.fr Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2010-09-15 2010-07-13 /pmc/articles/PMC2935418/ /pubmed/20628073 http://dx.doi.org/10.1093/bioinformatics/btq409 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Papers
Rialle, Stéphanie
Felicori, Liza
Dias-Lopes, Camila
Pérès, Sabine
El Atia, Sanaâ
Thierry, Alain R.
Amar, Patrick
Molina, Franck
BioNetCAD: design, simulation and experimental validation of synthetic biochemical networks
title BioNetCAD: design, simulation and experimental validation of synthetic biochemical networks
title_full BioNetCAD: design, simulation and experimental validation of synthetic biochemical networks
title_fullStr BioNetCAD: design, simulation and experimental validation of synthetic biochemical networks
title_full_unstemmed BioNetCAD: design, simulation and experimental validation of synthetic biochemical networks
title_short BioNetCAD: design, simulation and experimental validation of synthetic biochemical networks
title_sort bionetcad: design, simulation and experimental validation of synthetic biochemical networks
topic Original Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2935418/
https://www.ncbi.nlm.nih.gov/pubmed/20628073
http://dx.doi.org/10.1093/bioinformatics/btq409
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