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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 = {Baig, H and Fontanarrosa, P and Kulkarni, V and McLaughlin, J and Vaidyanathan, P and Bartley, B and Bhatia, S and Bhakta, S and Bissell, M and Clancy, K and Cox, RS and Moreno, AG and Gorochowski, T and Grunberg, R and Luna, A and Madsen, C and Misirli, G and Nguyen, T and Le, Novere N and Palchick, Z and Pocock, M and Roehner, N and Sauro, H and Scott-Brown, J and Sexton, JT and Stan, G-B and Tabor, JJ and Vilar, MV and Voigt, CA and Wipat, A and Zong, D and Zundel, Z and Beal, J and Myers, C},
doi = {10.1515/jib-2020-0014},
journal = {Journal of Integrative Bioinformatics},
pages = {1--85},
title = {Synthetic biology open language visual (SBOL visual) version 2.2},
url = {},
volume = {17},
year = {2020}

RIS format (EndNote, RefMan)

AB - People who are engineering biological organisms often find it useful to communicate in diagrams, both about the structure of the nucleic acid sequences that they are engineering and about the functional relationships between sequence features and other molecular species. Some typical practices and conventions have begun to emerge for such diagrams. The Synthetic Biology Open Language Visual (SBOL Visual) has been developed as a standard for organizing and systematizing such conventions in order to produce a coherent language for expressing the structure and function of genetic designs. This document details version 2.2 of SBOL Visual, which builds on the prior SBOL Visual 2.1 in several ways. First, the grounding of molecular species glyphs is changed from BioPAX to SBO, aligning with the use of SBO terms for interaction glyphs. Second, new glyphs are added for proteins, introns, and polypeptide regions (e. g., protein domains), the prior recommended macromolecule glyph is deprecated in favor of its alternative, and small polygons are introduced as alternative glyphs for simple chemicals.
AU - Baig,H
AU - Fontanarrosa,P
AU - Kulkarni,V
AU - McLaughlin,J
AU - Vaidyanathan,P
AU - Bartley,B
AU - Bhatia,S
AU - Bhakta,S
AU - Bissell,M
AU - Clancy,K
AU - Cox,RS
AU - Moreno,AG
AU - Gorochowski,T
AU - Grunberg,R
AU - Luna,A
AU - Madsen,C
AU - Misirli,G
AU - Nguyen,T
AU - Le,Novere N
AU - Palchick,Z
AU - Pocock,M
AU - Roehner,N
AU - Sauro,H
AU - Scott-Brown,J
AU - Sexton,JT
AU - Stan,G-B
AU - Tabor,JJ
AU - Vilar,MV
AU - Voigt,CA
AU - Wipat,A
AU - Zong,D
AU - Zundel,Z
AU - Beal,J
AU - Myers,C
DO - 10.1515/jib-2020-0014
EP - 85
PY - 2020///
SN - 1613-4516
SP - 1
TI - Synthetic biology open language visual (SBOL visual) version 2.2
T2 - Journal of Integrative Bioinformatics
UR -
UR -
UR -
UR -
VL - 17
ER -