ArticleACS synthetic biology2019
Communicating Structure and Function in Synthetic Biology Diagrams.
Article in ACS synthetic biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- An Experimentally Verified Mechanistic Model for Predicting Quorum Sensing-Based Switches.Microbial biotechnology · 2026Article
- Fundamentals and Exceptions of the LysR-type Transcriptional Regulators.ACS synthetic biology · 2024Review
- Delaying production with prokaryotic inducible expression systems.Microbial cell factories · 2024Review
- Data hazards in synthetic biology.Synthetic biology (Oxford, England) · 2024Review
- GENETTA: a Network-Based Tool for the Analysis of Complex Genetic Designs.ACS synthetic biology · 2023Article
- Addressable and adaptable intercellular communication via DNA messaging.Nature communications · 2023Article
- SEVA 4.0: an update of the Standard European Vector Architecture database for advanced analysis and programming of bacterial phenotypes.Nucleic acids research · 2023Article
- A Network Approach to Genetic Circuit Designs.ACS synthetic biology · 2022Article
- paraSBOLv: a foundation for standard-compliant genetic design visualization tools.Synthetic biology (Oxford, England) · 2021Article
- Controlling spatiotemporal pattern formation in a concentration gradient with a synthetic toggle switch.Molecular systems biology · 2020Article
- SEVA 3.0: an update of the Standard European Vector Architecture for enabling portability of genetic constructs among diverse bacterial hosts.Nucleic acids research · 2020Article
- The Synthetic Biology Open Language (SBOL) Version 3: Simplified Data Exchange for Bioengineering.Frontiers in bioengineering and biotechnology · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
24 authors.
Funding
Abstract
Biological engineers often find it useful to communicate using diagrams. These diagrams can include information both about the structure of the nucleic acid sequences they are engineering and about the functional relationships between features of these sequences and/or other molecular species. A number of conventions and practices have begun to emerge within synthetic biology for creating such diagrams, and the Synthetic Biology Open Language Visual (SBOL Visual) has been developed as a standard to organize, systematize, and extend such conventions in order to produce a coherent visual language. Here, we describe SBOL Visual version 2, which expands previous diagram standards to include new functional interactions, categories of molecular species, support for families of glyph variants, and the ability to indicate modular structure and mappings between elements of a system. SBOL Visual 2 also clarifies a number of requirements and best practices, significantly expands the collection of glyphs available to describe genetic features, and can be readily applied using a wide variety of software tools, both general and bespoke.
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.