In this section

Research

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.

Publications

Citation

BibTex format

@article{Kitney:2017:10.1049/enb.2017.0011,
author = {Kitney, RI and Freemont, PS},
doi = {10.1049/enb.2017.0011},
journal = {Engineering Biology},
pages = {3--6},
title = {Engineering biology: a key driver of the bio-economy},
url = {http://dx.doi.org/10.1049/enb.2017.0011},
volume = {1},
year = {2017}
}

Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - This study provides a relatively brief overview of the field of synthetic biology/engineering biology for thenon-specialist reader. This is in line with one of the basic aims of the new journalEngineering Biology–which is toopen up the field to a much wider audience than those currently engaged and, particularly, to people working incompanies and disciplines whose technology may be relevant to the field. Consequently, the study contains somedidactic material.
AU  - Kitney,RI
AU  - Freemont,PS
DO  - 10.1049/enb.2017.0011
EP  - 6
PY  - 2017///
SN  - 2398-6182
SP  - 3
TI  - Engineering biology: a key driver of the bio-economy
T2  - Engineering Biology
UR  - http://dx.doi.org/10.1049/enb.2017.0011
UR  - http://hdl.handle.net/10044/1/59081
VL  - 1
ER  -

Download