Imperial College London


Faculty of MedicineDepartment of Infectious Disease

Chair in Protein Crystallography



+44 (0)20 7594 5327p.freemont




259Sir Alexander Fleming BuildingSouth Kensington Campus






BibTex format

author = {Exley, K and Reynolds, C and Suckling, L and Chee, SM and Tsipa, A and Freemont, P and McClymont, D and Kitney, R},
doi = {10.1186/s13036-019-0141-z},
journal = {Journal of Biological Engineering},
title = {Utilising datasheets for the informed automated design and build of a synthetic metabolic pathway},
url = {},
volume = {13},
year = {2019}

RIS format (EndNote, RefMan)

AB - BackgroundThe automation of modular cloning methodologies permits the assembly of many genetic designs. Utilising characterised biological parts aids in the design and redesign of genetic pathways. The characterisation information held on datasheets can be used to determine whether a biological part meets the design requirements. To manage the design of genetic pathways, researchers have turned to modelling-based computer aided design software tools.ResultAn automated workflow has been developed for the design and build of heterologous metabolic pathways. In addition, to demonstrate the powers of electronic datasheets we have developed software which can transfer part information from a datasheet to the Design of Experiment software JMP. To this end we were able to use Design of Experiment software to rationally design and test randomised samples from the design space of a lycopene pathway in E. coli. This pathway was optimised by individually modulating the promoter strength, RBS strength, and gene order targets.ConclusionThe use of standardised and characterised biological parts will empower a design-oriented synthetic biology for the forward engineering of heterologous expression systems. A Design of Experiment approach streamlines the design-build-test cycle to achieve optimised solutions in biodesign. Developed automated workflows provide effective transfer of information between characterised information (in the form of datasheets) and DoE software.
AU - Exley,K
AU - Reynolds,C
AU - Suckling,L
AU - Chee,SM
AU - Tsipa,A
AU - Freemont,P
AU - McClymont,D
AU - Kitney,R
DO - 10.1186/s13036-019-0141-z
PY - 2019///
SN - 1754-1611
TI - Utilising datasheets for the informed automated design and build of a synthetic metabolic pathway
T2 - Journal of Biological Engineering
UR -
UR -
VL - 13
ER -