ReviewBiotechnology journal2013
Protein engineering for metabolic engineering: current and next-generation tools.
Review in Biotechnology journal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 47 citations in OpenAlex.
- Hfq-dependent artificial regulatory small RNAs for targeted gene expression control in the nitrogen-fixingSynthetic and systems biotechnology · 2026Article
- Sustainable production of glutaric acid in microbial cell factories: Current advances and future prospects.Synthetic and systems biotechnology · 2026Review
- Natural and engineered cyclodipeptides: Biosynthesis, chemical diversity, and engineering strategies for diversification and high-yield bioproduction.Engineering microbiology · 2023Review
- Enhanced production of amyrin in Yarrowia lipolytica using a combinatorial protein and metabolic engineering approach.Microbial cell factories · 2022Article
- Multitasking NaBiomedicines · 2022Review
- HyperXpress: Rapid Single Vessel DNA Assembly and Protein Production in Microliterscale.Frontiers in bioengineering and biotechnology · 2022Article
- Synthetic small regulatory RNAs in microbial metabolic engineering.Applied microbiology and biotechnology · 2021Review
- Computational Enzyme Engineering Pipelines for Optimized Production of Renewable Chemicals.Frontiers in bioengineering and biotechnology · 2021Review
- Cell-based and cell-free biocatalysis for the production of D-glucaric acid.Biotechnology for biofuels · 2020Review
- Pathway dissection, regulation, engineering and application: lessons learned from biobutanol production by solventogenic clostridia.Biotechnology for biofuels · 2020Review
- Structural Insights into Catalytic Versatility of the Flavin-dependent Hydroxylase (HpaB) from Escherichia coli.Scientific reports · 2019Article
- Saccharomyces cerevisiae strains for second-generation ethanol production: from academic exploration to industrial implementation.FEMS yeast research · 2017Review
- Engineering a d-lactate dehydrogenase that can super-efficiently utilize NADPH and NADH as cofactors.Scientific reports · 2016Article
- Combining random gene fission and rational gene fusion to discover near-infrared fluorescent protein fragments that report on protein-protein interactions.ACS synthetic biology · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Protein engineering in the context of metabolic engineering is increasingly important to the field of industrial biotechnology. As the demand for biologically produced food, fuels, chemicals, food additives, and pharmaceuticals continues to grow, the ability to design and modify proteins to accomplish new functions will be required to meet the high productivity demands for the metabolism of engineered organisms. We review advances in selecting, modeling, and engineering proteins to improve or alter their activity. Some of the methods have only recently been developed for general use and are just beginning to find greater application in the metabolic engineering community. We also discuss methods of generating random and targeted diversity in proteins to generate mutant libraries for analysis. Recent uses of these techniques to alter cofactor use; produce non-natural amino acids, alcohols, and carboxylic acids; and alter organism phenotypes are presented and discussed as examples of the successful engineering of proteins for metabolic engineering purposes.
Indexed as
Identifiers
What OpenQuestion holds
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.