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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 = {Ouldridge, T and Doye, J and Louis, A and Schreck, J and Romano, F and Harrison, R and Mosayebi, M and Engel, M},
booktitle = {Energy Landscapes of Nanoscale Systems},
doi = {10.1016/b978-0-12-824406-7.00016-6},
pages = {195--210},
publisher = {Elsevier},
title = {Free energy landscapes of DNA and its assemblies: perspectives from coarse-grained modelling},
url = {},
year = {2022}

RIS format (EndNote, RefMan)

AB - This chapter will provide an overview of how characterising free energy landscapes can provide insights into the biophysical properties of DNA, as well as into the behaviour of the DNA assemblies used in the field of DNA nanotechnology. The landscapes for these complex systems are accessible through the use of accurate coarse-grained descriptions of DNA. Particular foci will be the landscapes associated with DNA self-assembly and mechanical deformation, where the latter can arise from either externally imposed forces or internal stresses.
AU - Ouldridge,T
AU - Doye,J
AU - Louis,A
AU - Schreck,J
AU - Romano,F
AU - Harrison,R
AU - Mosayebi,M
AU - Engel,M
DO - 10.1016/b978-0-12-824406-7.00016-6
EP - 210
PB - Elsevier
PY - 2022///
SN - 9780128244067
SP - 195
TI - Free energy landscapes of DNA and its assemblies: perspectives from coarse-grained modelling
T1 - Energy Landscapes of Nanoscale Systems
UR -
UR -
UR -
ER -