Name
Abstract | ||
|---|---|---|
Synthetic biology is a rapidly expanding field at the interface of the engineering and biological sciences which aims to apply rational design principles in biological contexts. Many natural processes utilise regulatory architectures that parallel those found in control and electrical engineering, which has motivated their implementation as part of synthetic biological constructs. Tools based upon control theoretical concepts can be used to design such systems, as well as to guide their experimental realisation. In this paper we provide examples of biological implementations of negative feedback systems, and discuss progress made toward realisation of other feedback and control architectures. We then outline major challenges posed by the design of such systems, particularly focusing on those which are specific to biological contexts and on which feedback control can have a significant impact. We explore future directions for work in the field, including new approaches for theoretical design of biological control systems, the utilisation of novel components for their implementation, and the potential for application of automation and machine-learning approaches to accelerate synthetic biological research. |
Year | Venue | Field |
|---|---|---|
2017 | 2017 IEEE 56TH ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC) | Mathematical optimization,Systems engineering,Computer science,Negative feedback,Automation,Implementation,Realisation,Rational design,Synthetic biology |
DocType | ISSN | Citations |
Conference | 0743-1546 | 1 |
PageRank | References | Authors |
0.37 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Harrison Steel | 1 | 2 | 2.07 |
| Gabriele Lillacci | 2 | 70 | 5.14 |
| Mustafa Khammash | 3 | 333 | 49.06 |
| Antonis Papachristodoulou | 4 | 990 | 90.01 |