SynthesisACS synthetic biology2021
Synthesis in ACS synthetic biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.
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
8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.
- Meta-analysis of probiotics metabolites in gastrointestinal tract and metabolic health.Frontiers in cellular and infection microbiology · 2025Pooled it
- Meta-analysis Driven Strain Design for Mitigating Oxidative Stresses Important in Biomanufacturing.ACS synthetic biology · 2024Pooled it
- Adaptive Laboratory Evolution inMicroorganisms · 2026Review
- Bacteria as living biosensors for DNA.Nature reviews bioengineering · 2026Article
- Acetol biosynthesis enables NADPH balance during nitrogen limitation in engineered Escherichia coli.Microbial cell factories · 2025Article
- A growth selection system for sucrose synthases (SuSy): design and test.AMB Express · 2024Article
- Article
- Minireview: Engineering evolution to reconfigure phenotypic traits in microbes for biotechnological applications.Computational and structural biotechnology journal · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 2 institutions in 3 countries.
Funding
Abstract
Microbes are being engineered for an increasingly large and diverse set of applications. However, the designing of microbial genomes remains challenging due to the general complexity of biological systems. Adaptive Laboratory Evolution (ALE) leverages nature's problem-solving processes to generate optimized genotypes currently inaccessible to rational methods. The large amount of public ALE data now represents a new opportunity for data-driven strain design. This study describes how novel strain designs, or genome sequences not yet observed in ALE experiments or published designs, can be extracted from aggregated ALE data and demonstrates this by designing, building, and testing three novel
Indexed as
Identifiers
What Socratic 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 Socratic graph.