ReviewComputational and structural biotechnology journal2017
Mini-review:
Review in Computational and structural biotechnology journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed.
- High-throughput monitoring of in vitro enzymatic reactions using probe electrospray ionization-mass spectrometry.Analytical and bioanalytical chemistry · 2026Article
- Seven critical challenges in synthetic one-carbon assimilation and their potential solutions.FEMS microbiology reviews · 2025Review
- Plant synthetic biology: from knowledge to biomolecules.Frontiers in plant science · 2025Review
- BayesianSSA: a Bayesian statistical model based on structural sensitivity analysis for predicting responses to enzyme perturbations in metabolic networks.BMC bioinformatics · 2024Article
- Engineering of increased L-Threonine production in bacteria by combinatorial cloning and machine learning.Metabolic engineering communications · 2023Article
- Immobilised-enzyme microreactors for the identification and synthesis of conjugated drug metabolites.RSC advances · 2023Article
- Production of Astaxanthin by Animal Cells via Introduction of an Entire Astaxanthin Biosynthetic Pathway.Bioengineering (Basel, Switzerland) · 2023Article
- Exploring the Feasibility of Cell-Free Synthesis as a Platform for Polyhydroxyalkanoate (PHA) Production: Opportunities and Challenges.Polymers · 2023Review
- Advancing synthetic biology through cell-free protein synthesis.Computational and structural biotechnology journal · 2023Review
- Rewiring cell-free metabolic flux inSynthetic biology (Oxford, England) · 2023Article
- Cell-free systems for accelerating glycoprotein expression and biomanufacturing.Journal of industrial microbiology & biotechnology · 2020Review
- Plant Biosystems Design Research Roadmap 1.0.Biodesign research · 2020Review
- Cell-Free Synthetic Biology Platform for Engineering Synthetic Biological Circuits and Systems.Methods and protocols · 2019Review
- AnSynthetic and systems biotechnology · 2018Review
- AnApplied and environmental microbiology · 2017Article
- Bacterial cell-free expression technology toSynthetic and systems biotechnology · 2017Review
- Modules forSynthetic and systems biotechnology · 2017Review
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the breakthroughs in biomolecular engineering and synthetic biology, many valuable biologically active compound and commodity chemicals have been successfully manufactured using cell-based approaches in the past decade. However, because of the high complexity of cell metabolism, the identification and optimization of rate-limiting metabolic pathways for improving the product yield is often difficult, which represents a significant and unavoidable barrier of traditional
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.