ReviewJournal of the Royal Society, Interface2016
Control theory meets synthetic biology.
Review in Journal of the Royal Society, Interface, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 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
80 citing papers in PubMed.
- EMBED: Ensemble MATCONT-Based Detection and Classification of Bifurcations in Dual Phosphorylation-Dephosphorylation Reaction Networks.ACS omega · 2026Article
- Control theory analysis of dynamic metabolic response elucidates mitochondrial-cytoplasmic coupling and nutrient partitioning.bioRxiv : the preprint server for biology · 2026Article
- Control-guided refinement of partially specified Boolean networks: applications to RTK signaling.Bioinformatics (Oxford, England) · 2026Article
- Review
- Synthetic Biology of Plants and Microbes for Agriculture, Environment, and Future Applications.Chemical reviews · 2026Review
- PID-controller enhanced artificial β-cells.PloS one · 2026Article
- Enhanced MiRISC expression noise reduction by self-feedback regulation of mRNA degradation.Computational and structural biotechnology journal · 2026Article
- Multilayer regulation of CRISPR systems: integrating anti-CRISPR proteins, CRISPRi/a, and quorum sensing networks.Frontiers in cellular and infection microbiology · 2026Review
- Mammalian synthetic gene circuits for biopharmaceutical development & manufacture.NPJ systems biology and applications · 2025Review
- Genetic controllers for enhancing the evolutionary longevity of synthetic gene circuits in bacteria.Nature communications · 2025Article
- Challenges and Opportunities in Smart Biosensing for Biomanufacturing.ACS synthetic biology · 2025Review
- Investigating Gene Expression Noise Reduction by MicroRNAs and MiRISC Reinforcement by Self-Feedback Regulation of mRNA Degradation.bioRxiv : the preprint server for biology · 2025Article
- Bacterial two-hybrid systems evolved: innovations for protein-protein interaction research.Journal of bacteriology · 2025Review
- Multi-Layer Autocatalytic Feedback Enables Integral Control Amidst Resource Competition and Across Scales.ACS synthetic biology · 2025Article
- Concentration-Dependent CsrA Regulation of theACS synthetic biology · 2025Article
- Feed-forward loop improves the transient dynamics of an antithetic biological controller.Journal of the Royal Society, Interface · 2025Article
- Multiscale information processing in the immune system.Frontiers in immunology · 2025Review
- A functional approach to homeostatic regulation.Biology direct · 2024Article
- A hybrid in silico/in-cell controller that handles process-model mismatches using intracellular biosensing.Scientific reports · 2024Article
- How DoesACS synthetic biology · 2024Article
20 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The past several years have witnessed an increased presence of control theoretic concepts in synthetic biology. This review presents an organized summary of how these control design concepts have been applied to tackle a variety of problems faced when building synthetic biomolecular circuits in living cells. In particular, we describe success stories that demonstrate how simple or more elaborate control design methods can be used to make the behaviour of synthetic genetic circuits within a single cell or across a cell population more reliable, predictable and robust to perturbations. The description especially highlights technical challenges that uniquely arise from the need to implement control designs within a new hardware setting, along with implemented or proposed solutions. Some engineering solutions employing complex feedback control schemes are also described, which, however, still require a deeper theoretical analysis of stability, performance and robustness properties. Overall, this paper should help synthetic biologists become familiar with feedback control concepts as they can be used in their application area. At the same time, it should provide some domain knowledge to control theorists who wish to enter the rising and exciting field of synthetic biology.
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.