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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 = {Boo, A and Ellis, T and Stan, G},
doi = {10.1016/j.coisb.2019.03.001},
journal = {Current Opinion in Systems Biology},
pages = {66--72},
title = {Host-aware synthetic biology},
url = {},
volume = {14},
year = {2019}

RIS format (EndNote, RefMan)

AB - Unnatural gene expression imposes a load on engineered microorganisms thatdecreases their growth and subsequent production yields, a phenomenon knownasburden. In the last decade, the field of synthetic biology has made progress onthe development of biomolecular feedback control systems and other approachesthat can improve the growth of engineered cells, as well as the genetic stability,portability and robust performance of cell-hosted synthetic constructs. In thisreview, we highlight recent work focused on the development of host-aware syn-thetic biology.
AU - Boo,A
AU - Ellis,T
AU - Stan,G
DO - 10.1016/j.coisb.2019.03.001
EP - 72
PY - 2019///
SN - 2452-3100
SP - 66
TI - Host-aware synthetic biology
T2 - Current Opinion in Systems Biology
UR -
UR -
VL - 14
ER -