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Synthetic Biology underpins advances in the bioeconomy

Biological systems - including the simplest cells - exhibit a broad range of functions to thrive in their environment. Research in the Imperial College Centre for Synthetic Biology is focused on the possibility of engineering the underlying biochemical processes to solve many of the challenges facing society, from healthcare to sustainable energy. In particular, we model, analyse, design and build biological and biochemical systems in living cells and/or in cell extracts, both exploring and enhancing the engineering potential of biology. 

As part of our research we develop novel methods to accelerate the celebrated Design-Build-Test-Learn synthetic biology cycle. As such research in the Centre for Synthetic Biology highly multi- and interdisciplinary covering computational modelling and machine learning approaches; automated platform development and genetic circuit engineering ; multi-cellular and multi-organismal interactions, including gene drive and genome engineering; metabolic engineering; in vitro/cell-free synthetic biology; engineered phages and directed evolution; and biomimetics, biomaterials and biological engineering.



BibTex format

author = {Perrino, G and Hadjimitsis, A and Ledesma, Amaro R and Stan, G-B},
doi = {10.1016/j.mib.2021.05.004},
journal = {Current Opinion in Microbiology},
pages = {68--75},
title = {Control engineering and synthetic biology: Working in synergy for the analysis and control of microbial systems},
url = {},
volume = {62},
year = {2021}

RIS format (EndNote, RefMan)

AB - The implementation of novel functionalities in living cells is a key aspect of synthetic biology. In the last decade, the field of synthetic biology has made progress working in synergy with control engineering, whose solid framework has provided concepts and tools to analyse biological systems and guide their design. In this review, we briefly highlight recent work focused on the application of control theoretical concepts and tools for the analysis and design of synthetic biology systems in microbial cells.
AU - Perrino,G
AU - Hadjimitsis,A
AU - Ledesma,Amaro R
AU - Stan,G-B
DO - 10.1016/j.mib.2021.05.004
EP - 75
PY - 2021///
SN - 1369-5274
SP - 68
TI - Control engineering and synthetic biology: Working in synergy for the analysis and control of microbial systems
T2 - Current Opinion in Microbiology
UR -
UR -
UR -
VL - 62
ER -