Turnover Dependent Phenotypic Simulation: A Quantitative Constraint-Based Simulation Method That Accommodates All Main Strain Design Strategies-Reference-Cited by-同舟云学术

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Turnover Dependent Phenotypic Simulation: A Quantitative Constraint-Based Simulation Method That Accommodates All Main Strain Design Strategies

Published:2019-03-29 Issue:5 Volume:8 Page:976-988
ISSN:2161-5063
Container-title:ACS Synthetic Biology
language:en
Short-container-title:ACS Synth. Biol.

Author:

Pereira Rui¹²^ORCID,Vilaça Paulo¹³,Maia Paulo¹³,Nielsen Jens²⁴,Rocha Isabel¹⁵

Affiliation:

1. CEB − Centre of Biological Engineering, University of Minho, Campus de Gualtar, Braga 4710-057, Portugal

2. Department of Biology and Biological Engineering, Chalmers University of Technology, SE412 96 Gothenburg, Sweden

3. SilicoLife Lda., Rua do Canastreiro 15, 4715-387 Braga, Portugal

4. Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark

5. Instituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa (ITQB-NOVA), 2775-412 Oeiras, Portugal

Funder

Novo Nordisk

European Regional Development Fund

Horizon 2020 Framework Programme

Funda????o para a Ci??ncia e a Tecnologia

Publisher

American Chemical Society (ACS)

Subject

Biochemistry, Genetics and Molecular Biology (miscellaneous),Biomedical Engineering,General Medicine

Link

https://pubs.acs.org/doi/pdf/10.1021/acssynbio.8b00248

Reference30 articles.

1. Constraining the metabolic genotype–phenotype relationship using a phylogeny of in silico methods

2. Computational methods in metabolic engineering for strain design

3. In Silico Constraint-Based Strain Optimization Methods: the Quest for Optimal Cell Factories

4. Optimization Approaches for the In Silico Discovery of Optimal Targets for Gene Over/Underexpression

5. OptFlux: an open-source software platform for in silico metabolic engineering

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