ReviewNature communications2020
Application of combinatorial optimization strategies in synthetic biology.
Review in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 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
54 citing papers in PubMed, 172 citations in OpenAlex.
- Semi-Artificial Photosynthesis Enables Light-Driven Biomanufacturing in Non-Photosynthetic Bacteria.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Precision meets speed through an FPGA-based natively sparse Ising machine for combinatorial optimization.Nature communications · 2026Article
- Exploring chromosomal position effects for predictable tuning of metabolic pathways in yeast.Nucleic acids research · 2026Article
- Dynamics of genetic circuits in Pseudomonas protegens.Cell systems · 2026Article
- Mining Genetically Encoded Biosensors from Filamentous Fungi.Journal of fungi (Basel, Switzerland) · 2026Review
- Synthetic Biology of Plants and Microbes for Agriculture, Environment, and Future Applications.Chemical reviews · 2026Review
- Transcriptional regulation: efficient genetic engineering tools for non-conventional yeasts.FEMS yeast research · 2026Review
- Combinatorial (bio-geo-temporal) and non-combinatorial analysis of the COVID-19 dissemination that affected Georgia (the country) in 2021.Frontiers in public health · 2026Article
- Integration-coupled activation of promoterless combinatorial pathway libraries inSynthetic biology (Oxford, England) · 2026Article
- Bio-hydrovoltaic technology: advancing from non-living to living hydrovoltaic systems.National science review · 2025Review
- Parameterization of cell-free systems with time-series data using KETCHUP.PLoS computational biology · 2025Article
- MOSAIC: A Highly Efficient, One-Step Recombineering Approach to Plasmid Editing and Diversification.ACS synthetic biology · 2025Article
- Fungal Innovations-Advancing Sustainable Materials, Genetics, and Applications for Industry.Journal of fungi (Basel, Switzerland) · 2025Review
- Harmonization trial onThe journal of liquid biopsy · 2025Article
- Improving engineered biological systems with electronics and microfluidics.Nature biotechnology · 2025Review
- Article
- Recent advances in the Design-Build-Test-Learn (DBTL) cycle for systems metabolic engineering of Corynebacterium glutamicum.Journal of microbiology (Seoul, Korea) · 2025Review
- Article
- Integrating yeast biodiversity and machine learning for predictive metabolic engineering.FEMS yeast research · 2025Review
- Fine-Tuning Genetic Circuits via Host Context and RBS Modulation.ACS synthetic biology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the first wave of synthetic biology, genetic elements, combined into simple circuits, are used to control individual cellular functions. In the second wave of synthetic biology, the simple circuits, combined into complex circuits, form systems-level functions. However, efforts to construct complex circuits are often impeded by our limited knowledge of the optimal combination of individual circuits. For example, a fundamental question in most metabolic engineering projects is the optimal level of enzymes for maximizing the output. To address this point, combinatorial optimization approaches have been established, allowing automatic optimization without prior knowledge of the best combination of expression levels of individual genes. This review focuses on current combinatorial optimization methods and emerging technologies facilitating their applications.
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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.