ReviewCurrent opinion in biotechnology2010
Programming cells: towards an automated 'Genetic Compiler'.
Review in Current opinion in biotechnology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 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
21 citing papers in PubMed.
- Synthetic Biology of Plants and Microbes for Agriculture, Environment, and Future Applications.Chemical reviews · 2026Review
- Gene circuit-based sensors.Fundamental research · 2025Review
- Cognitive Nests: Nested Data-Driven Decision Support System in Regenerative Design from Biology to Ecology.3D printing and additive manufacturing · 2025Article
- Engineered live bacteria as disease detection and diagnosis tools.Journal of biological engineering · 2023Review
- Hardware, Software, and Wetware Codesign Environment for Synthetic Biology.Biodesign research · 2022Review
- Quantitative and Predictive Genetic Parts for Plant Synthetic Biology.Frontiers in plant science · 2020Review
- Synthetic Biology Goes Cell-Free.BMC biology · 2019Review
- Biomolecular Assemblies: Moving from Observation to Predictive Design.Chemical reviews · 2018Review
- Retroactivity in the Context of Modularly Structured Biomolecular Systems.Frontiers in bioengineering and biotechnology · 2015Review
- Principles of genetic circuit design.Nature methods · 2014Review
- Design of orthogonal genetic switches based on a crosstalk map of σs, anti-σs, and promoters.Molecular systems biology · 2013Article
- Genetic sensor for strong methylating compounds.ACS synthetic biology · 2013Article
- Convergence in parameters and predictions using computational experimental design.Interface focus · 2013Article
- Genetic circuit performance under conditions relevant for industrial bioreactors.ACS synthetic biology · 2012Article
- Article
- Insulating gene circuits from context by RNA processing.Nature biotechnology · 2012Article
- Ribozyme-based insulator parts buffer synthetic circuits from genetic context.Nature biotechnology · 2012Article
- Genetic design automation: engineering fantasy or scientific renewal?Trends in biotechnology · 2012Review
- Standard biological parts knowledgebase.PloS one · 2011Article
- Robust multicellular computing using genetically encoded NOR gates and chemical 'wires'.Nature · 2011Article
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.
Funding
Abstract
One of the visions of synthetic biology is to be able to program cells using a language that is similar to that used to program computers or robotics. For large genetic programs, keeping track of the DNA on the level of nucleotides becomes tedious and error prone, requiring a new generation of computer-aided design (CAD) software. To push the size of projects, it is important to abstract the designer from the process of part selection and optimization. The vision is to specify genetic programs in a higher-level language, which a genetic compiler could automatically convert into a DNA sequence. Steps towards this goal include: defining the semantics of the higher-level language, algorithms to select and assemble parts, and biophysical methods to link DNA sequence to function. These will be coupled to graphic design interfaces and simulation packages to aid in the prediction of program dynamics, optimize genes, and scan projects for errors.
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.