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AMIGO2, a toolbox for dynamic modeling, optimization and control in systems biology
Motivation: Many problems of interest in dynamic modeling and control of biological systems can be posed as non-linear optimization problems subject to algebraic and dynamic constraints. In the context of modeling, this is the case of, e.g. parameter estimation, optimal experimental design and dynam...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5079478/ https://www.ncbi.nlm.nih.gov/pubmed/27378288 http://dx.doi.org/10.1093/bioinformatics/btw411 |
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author | Balsa-Canto, Eva Henriques, David Gábor, Attila Banga, Julio R. |
author_facet | Balsa-Canto, Eva Henriques, David Gábor, Attila Banga, Julio R. |
author_sort | Balsa-Canto, Eva |
collection | PubMed |
description | Motivation: Many problems of interest in dynamic modeling and control of biological systems can be posed as non-linear optimization problems subject to algebraic and dynamic constraints. In the context of modeling, this is the case of, e.g. parameter estimation, optimal experimental design and dynamic flux balance analysis. In the context of control, model-based metabolic engineering or drug dose optimization problems can be formulated as (multi-objective) optimal control problems. Finding a solution to those problems is a very challenging task which requires advanced numerical methods. Results: This work presents the AMIGO2 toolbox: the first multiplatform software tool that automatizes the solution of all those problems, offering a suite of state-of-the-art (multi-objective) global optimizers and advanced simulation approaches. Availability and Implementation: The toolbox and its documentation are available at: sites.google.com/site/amigo2toolbox. Contact: ebalsa@iim.csic.es Supplementary information: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-5079478 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-50794782016-10-26 AMIGO2, a toolbox for dynamic modeling, optimization and control in systems biology Balsa-Canto, Eva Henriques, David Gábor, Attila Banga, Julio R. Bioinformatics Applications Notes Motivation: Many problems of interest in dynamic modeling and control of biological systems can be posed as non-linear optimization problems subject to algebraic and dynamic constraints. In the context of modeling, this is the case of, e.g. parameter estimation, optimal experimental design and dynamic flux balance analysis. In the context of control, model-based metabolic engineering or drug dose optimization problems can be formulated as (multi-objective) optimal control problems. Finding a solution to those problems is a very challenging task which requires advanced numerical methods. Results: This work presents the AMIGO2 toolbox: the first multiplatform software tool that automatizes the solution of all those problems, offering a suite of state-of-the-art (multi-objective) global optimizers and advanced simulation approaches. Availability and Implementation: The toolbox and its documentation are available at: sites.google.com/site/amigo2toolbox. Contact: ebalsa@iim.csic.es Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2016-11-01 2016-07-04 /pmc/articles/PMC5079478/ /pubmed/27378288 http://dx.doi.org/10.1093/bioinformatics/btw411 Text en © The Author 2016. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Applications Notes Balsa-Canto, Eva Henriques, David Gábor, Attila Banga, Julio R. AMIGO2, a toolbox for dynamic modeling, optimization and control in systems biology |
title | AMIGO2, a toolbox for dynamic modeling, optimization and control in systems biology |
title_full | AMIGO2, a toolbox for dynamic modeling, optimization and control in systems biology |
title_fullStr | AMIGO2, a toolbox for dynamic modeling, optimization and control in systems biology |
title_full_unstemmed | AMIGO2, a toolbox for dynamic modeling, optimization and control in systems biology |
title_short | AMIGO2, a toolbox for dynamic modeling, optimization and control in systems biology |
title_sort | amigo2, a toolbox for dynamic modeling, optimization and control in systems biology |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5079478/ https://www.ncbi.nlm.nih.gov/pubmed/27378288 http://dx.doi.org/10.1093/bioinformatics/btw411 |
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