Synthetic Gene Circuit Analysis and Optimization.

Automated design Bistability Cell decision making Global optimization Mixed integer nonlinear programming Multiobjective optimization Synthetic biology

Journal

Methods in molecular biology (Clifton, N.J.)
ISSN: 1940-6029
Titre abrégé: Methods Mol Biol
Pays: United States
ID NLM: 9214969

Informations de publication

Date de publication:
2021
Historique:
entrez: 12 11 2020
pubmed: 13 11 2020
medline: 26 3 2021
Statut: ppublish

Résumé

Synthetic biology aims at engineering synthetic circuits with pre-defined target functions. From a systems (model-based) perspective, the following problems are of central importance: (1) given the model of a biomolecular circuit, elucidate whether it is capable of a certain behavior/functionality; and (2) starting from a pre-defined required functionality and a library of biological parts, find the biomolecular circuit that, built as a combination of such parts, achieves the desired behavior. These two problems, framed, respectively, as nonlinear analysis and automated design problems, are tackled here by efficient optimization methods. We illustrate these methods with case studies considering the analysis and design of biocircuits capable of bistability (bistable switches). Bistability is of particular interest in the context of systems and synthetic biology because it endows cells with the capacity to make decisions.

Identifiants

pubmed: 33180296
doi: 10.1007/978-1-0716-0822-7_8
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

89-103

Auteurs

Irene Otero-Muras (I)

BioProcess Engineering Group, IIM-CSIC, Spanish National Research Council, Vigo, Spain. ireneotero@iim.csic.es.

Julio R Banga (JR)

BioProcess Engineering Group, IIM-CSIC, Spanish National Research Council, Vigo, Spain.

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Classifications MeSH