ArticleNature communications2018
MoVE identifies metabolic valves to switch between phenotypic states.
Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Advances in erythritol production through synthetic biology and systems metabolic engineering.Archives of microbiology · 2026Review
- Integrated multi-dimensional modeling of non-model bacteria identifies engineering targets for acarbose biosynthesis optimization.Cell reports methods · 2026Article
- Programming Nutrient Detection with Modular Regulators for Dynamic Control of Microbial Biosynthesis.ACS synthetic biology · 2025Article
- Minimal cut sets in metabolic networks: from conceptual foundations to applications in metabolic engineering and biomedicine.Briefings in bioinformatics · 2025Review
- Design principles for engineering bacteria to maximise chemical production from batch cultures.Nature communications · 2025Article
- Sulfate limitation increases specific plasmid DNA yield and productivity in E. coli fed-batch processes.Microbial cell factories · 2023Article
- Mapping temperature-sensitive mutations at a genome scale to engineer growth switches in Escherichia coli.Molecular systems biology · 2023Article
- Local flux coordination and global gene expression regulation in metabolic modeling.Nature communications · 2023Article
- A systematic approach to identify host targets and rapidly deliver broad-spectrum antivirals.Molecular therapy : the journal of the American Society of Gene Therapy · 2022Article
- Practical genetic control strategies for industrial bioprocesses.Journal of industrial microbiology & biotechnology · 2022Review
- Automation assisted anaerobic phenotyping for metabolic engineering.Microbial cell factories · 2021Article
- Designing microbial communities to maximize the thermodynamic driving force for the production of chemicals.PLoS computational biology · 2021Article
- Dynamic control over feedback regulatory mechanisms improves NADPH flux and xylitol biosynthesis in engineered E. coli.Metabolic engineering · 2021Article
- Engineering Escherichia coli for the utilization of ethylene glycol.Microbial cell factories · 2021Article
- Dynamic control in metabolic engineering: Theories, tools, and applications.Metabolic engineering · 2021Review
- Opportunities and Challenges for Microbial Synthesis of Fatty Acid-Derived Chemicals (FACs).Frontiers in bioengineering and biotechnology · 2021Review
- Rewiring yeast metabolism to synthesize products beyond ethanol.Current opinion in chemical biology · 2020Review
- Corrigendum to "Rewiring yeast metabolism to synthesize products beyond ethanol" [Curr Opin Chem Biol 59 (December 2020) 182-192].Current opinion in chemical biology · 2020Article
- CRISPR interference of nucleotide biosynthesis improves production of a single-domain antibody in Escherichia coli.Biotechnology and bioengineering · 2020Article
- Speeding up the core algorithm for the dual calculation of minimal cut sets in large metabolic networks.BMC bioinformatics · 2020Article
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4 authors.
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Abstract
Metabolism is highly regulated, allowing for robust and complex behavior. This behavior can often be achieved by controlling a small number of important metabolic reactions, or metabolic valves. Here, we present a method to identify the location of such valves: the metabolic valve enumerator (MoVE). MoVE uses a metabolic model to identify genetic intervention strategies which decouple two desired phenotypes. We apply this method to identify valves which can decouple growth and production to systematically improve the rate and yield of biochemical production processes. We apply this algorithm to the production of diverse compounds and obtained solutions for over 70% of our targets, identifying a small number of highly represented valves to achieve near maximal growth and production. MoVE offers a systematic approach to identify metabolic valves using metabolic models, providing insight into the architecture of metabolic networks and accelerating the widespread implementation of dynamic flux redirection in diverse systems.
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