ReviewNatural product reports2016
Bioinformatics for the synthetic biology of natural products: integrating across the Design-Build-Test cycle.
Review in Natural product reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 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
23 citing papers in PubMed.
- Bioengineering hybrid artificial life.Frontiers in bioinformatics · 2025Review
- Cyberbiosecurity: Advancements in DNA-based information security.Biosafety and health · 2024Review
- Methanol Dehydrogenases as a Key Biocatalysts for Synthetic Methylotrophy.Frontiers in bioengineering and biotechnology · 2021Review
- Streamlining the Analysis of DynamicMetabolites · 2020Article
- novoPathFinder: a webserver of designing novel-pathway with integrating GEM-model.Nucleic acids research · 2020Article
- Article
- Antimicrobial biosynthetic potential and diversity of culturable soil actinobacteria from forest ecosystems of Northeast India.Scientific reports · 2020Article
- Immediate, multiplexed and sequential genome engineering facilitated by CRISPR/Cas9 in Saccharomyces cerevisiae.Journal of industrial microbiology & biotechnology · 2020Article
- Unraveling Plant Natural Chemical Diversity for Drug Discovery Purposes.Frontiers in pharmacology · 2020Review
- Rapid SERS Detection of Thiol-Containing Natural Products in Culturing Complex.International journal of analytical chemistry · 2020Article
- Actinomycete-Derived Polyketides as a Source of Antibiotics and Lead Structures for the Development of New Antimicrobial Drugs.Antibiotics (Basel, Switzerland) · 2019Review
- Gsmodutils: a python based framework for test-driven genome scale metabolic model development.Bioinformatics (Oxford, England) · 2019Article
- Highly multiplexed, fast and accurate nanopore sequencing for verification of synthetic DNA constructs and sequence libraries.Synthetic biology (Oxford, England) · 2019Article
- Development and validation of an updated computational model of Streptomyces coelicolor primary and secondary metabolism.BMC genomics · 2018Article
- Selenzyme: enzyme selection tool for pathway design.Bioinformatics (Oxford, England) · 2018Article
- STRENDA DB: enabling the validation and sharing of enzyme kinetics data.The FEBS journal · 2018Article
- A living foundry for Synthetic Biological Materials: A synthetic biology roadmap to new advanced materials.Synthetic and systems biotechnology · 2018Review
- An automated Design-Build-Test-Learn pipeline for enhanced microbial production of fine chemicals.Communications biology · 2018Article
- Precise quantification of translation inhibition by mRNA structures that overlap with the ribosomal footprint in N-terminal coding sequences.Nucleic acids research · 2017Article
- Evolutionary algorithms and synthetic biology for directed evolution: commentary on "on the mapping of genotype to phenotype in evolutionary algorithms" by Peter A. Whigham, Grant Dick, and James Maclaurin.Genetic programming and evolvable machines · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Covering: 2000 to 2016Progress in synthetic biology is enabled by powerful bioinformatics tools allowing the integration of the design, build and test stages of the biological engineering cycle. In this review we illustrate how this integration can be achieved, with a particular focus on natural products discovery and production. Bioinformatics tools for the DESIGN and BUILD stages include tools for the selection, synthesis, assembly and optimization of parts (enzymes and regulatory elements), devices (pathways) and systems (chassis). TEST tools include those for screening, identification and quantification of metabolites for rapid prototyping. The main advantages and limitations of these tools as well as their interoperability capabilities are highlighted.
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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.