ReviewComputational and structural biotechnology journal2014
Computational approaches to metabolic engineering utilizing systems biology and synthetic biology.
Review in Computational and structural biotechnology journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
10 citing papers in PubMed.
- Systems biology approach for enhancing limonene yield by re-engineering Escherichia coli.NPJ systems biology and applications · 2024Article
- Machine learning-assisted medium optimization revealed the discriminated strategies for improved production of the foreign and native metabolites.Computational and structural biotechnology journal · 2023Article
- Development of an expression-tunable multiple protein synthesis system in cell-free reactions using T7-promoter-variant series.Synthetic biology (Oxford, England) · 2022Article
- Continuous Cultivation as a Tool Toward the Rational Bioprocess Development WithFrontiers in bioengineering and biotechnology · 2020Review
- The vaginal microbiome and preterm birth.Nature medicine · 2019Article
- Metabolic modeling and response surface analysis of an Escherichia coli strain engineered for shikimic acid production.BMC systems biology · 2018Article
- Development and validation of an updated computational model of Streptomyces coelicolor primary and secondary metabolism.BMC genomics · 2018Article
- Microbial production of vitamin BMicrobial cell factories · 2017Review
- Designing overall stoichiometric conversions and intervening metabolic reactions.Scientific reports · 2015Article
- Shikimic Acid Production in Escherichia coli: From Classical Metabolic Engineering Strategies to Omics Applied to Improve Its Production.Frontiers in bioengineering and biotechnology · 2015Review
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Metabolic engineering modifies cellular function to address various biochemical applications. Underlying metabolic engineering efforts are a host of tools and knowledge that are integrated to enable successful outcomes. Concurrent development of computational and experimental tools has enabled different approaches to metabolic engineering. One approach is to leverage knowledge and computational tools to prospectively predict designs to achieve the desired outcome. An alternative approach is to utilize combinatorial experimental tools to empirically explore the range of cellular function and to screen for desired traits. This mini-review focuses on computational systems biology and synthetic biology tools that can be used in combination for prospective in silico strain design.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.