Genome-scale models of metabolism and expression predict the metabolic burden of recombinant protein expression-Reference-Cited by-同舟云学术

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Genome-scale models of metabolism and expression predict the metabolic burden of recombinant protein expression

Published:2024-07 Issue: Volume:84 Page:109-116
ISSN:1096-7176
Container-title:Metabolic Engineering
language:en
Short-container-title:Metabolic Engineering

Author:

Oftadeh Omid,Hatzimanikatis Vassily^ORCID

Publisher

Elsevier BV

Reference36 articles.

1. Overflow metabolism in Escherichia coli results from efficient proteome allocation;Basan;Nature,2015

2. Intracellular crowding defines the mode and sequence of substrate uptake by Escherichia coli and constrains its metabolic activity;Beg;Proc. Natl. Acad. Sci. USA,2007

3. Plasmid‐encoded protein: the principal factor in the “metabolic burden” associated with recombinant bacteria;Bentley;Biotechnol. Bioeng.,1990

4. Plasmid DNA fermentation strain and process‐specific effects on vector yield, quality, and transgene expression;Carnes;Biotechnol. Bioeng.,2011

5. Effects of recombinant plasmid size on cellular processes in Escherichia coli;Cheah;Plasmid,1987

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1. Insulin evolution: A holistic view of recombinant production advancements;International Journal of Biological Macromolecules;2024-10

2. Cell factory design with advanced metabolic modelling empowered by artificial intelligence;Metabolic Engineering;2024-09

3. Consequences of the deletion of the major specialized metabolite biosynthetic pathways of Streptomyces coelicolor on the metabolome and lipidome of this strain;Microbial Biotechnology;2024-08

4. Current State, Challenges, and Opportunities in Genome-Scale Resource Allocation Models: A Mathematical Perspective;Metabolites;2024-06-28

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