ReviewCold Spring Harbor perspectives in biology2017
Design Automation in Synthetic Biology.
Review in Cold Spring Harbor perspectives in biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 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
33 citing papers in PubMed.
- Critical review of artificial intelligence in synthetic biology: DBTL cycle applications, challenges, and design rules for microbial strain engineering.World journal of microbiology & biotechnology · 2026Review
- Generative design of synthetic gene circuits for functional and evolutionary properties.NPJ systems biology and applications · 2026Article
- Synthetic Biology of Plants and Microbes for Agriculture, Environment, and Future Applications.Chemical reviews · 2026Review
- Rethinking governance of synthetic cells.Frontiers in bioengineering and biotechnology · 2026Article
- The design and engineering of synthetic genomes.Nature reviews. Genetics · 2025Review
- Modulating bacterial function utilizing A knowledge base of transcriptional regulatory modules.Nucleic acids research · 2024Article
- Automatic design of gene regulatory mechanisms for spatial pattern formation.NPJ systems biology and applications · 2024Article
- Machine Learning for Biological Design.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Investigating and Modeling the Factors That Affect Genetic Circuit Performance.ACS synthetic biology · 2023Article
- An electrogenetic toggle switch model.Microbial biotechnology · 2023Article
- Technical upgrade of an open-source liquid handler to support bacterial colony screening.Frontiers in bioengineering and biotechnology · 2023Article
- Robustness and reproducibility of simple and complex synthetic logic circuit designs using a DBTL loop.Synthetic biology (Oxford, England) · 2023Article
- Alternative design strategies to help build the enzymatic retrosynthesis toolbox.RSC chemical biology · 2022Article
- A Network Approach to Genetic Circuit Designs.ACS synthetic biology · 2022Article
- The automated Galaxy-SynBioCAD pipeline for synthetic biology design and engineering.Nature communications · 2022Article
- Novel High-Throughput DNA Part Characterization Technique for Synthetic Biology.Journal of microbiology and biotechnology · 2022Article
- Synthetic Morphogenesis: introducing IEEE journal readers to programming living mammalian cells to make structures.Proceedings of the IEEE. Institute of Electrical and Electronics Engineers · 2022Article
- Automated Design of Robust Genetic Circuits: Structural Variants and Parameter Uncertainty.ACS synthetic biology · 2021Article
- Nobel Turing Challenge: creating the engine for scientific discovery.NPJ systems biology and applications · 2021Review
- How To Quantify a Genetic Firewall? A Polarity-Based Metric for Genetic Code Engineering.Chembiochem : a European journal of chemical biology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Design automation refers to a category of software tools for designing systems that work together in a workflow for designing, building, testing, and analyzing systems with a target behavior. In synthetic biology, these tools are called bio-design automation (BDA) tools. In this review, we discuss the BDA tools areas-specify, design, build, test, and learn-and introduce the existing software tools designed to solve problems in these areas. We then detail the functionality of some of these tools and show how they can be used together to create the desired behavior of two types of modern synthetic genetic regulatory networks.
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.