Imperial College London

ProfessorPaulFreemont

Faculty of MedicineDepartment of Medicine

Chair in Protein Crystallography
 
 
 
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Contact

 

+44 (0)20 7594 5327p.freemont

 
 
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Location

 

259Sir Alexander Fleming BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Rajakumar:2018:10.1177/2472630318798304,
author = {Rajakumar, PD and Gowers, G-OF and Suckling, L and Foster, A and Ellis, T and Kitney, RI and McClymont, DW and Freemont, PS},
doi = {10.1177/2472630318798304},
journal = {SLAS Technol},
title = {Rapid Prototyping Platform for Saccharomyces cerevisiae Using Computer-Aided Genetic Design Enabled by Parallel Software and Workcell Platform Development.},
url = {http://dx.doi.org/10.1177/2472630318798304},
year = {2018}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Biofoundries have enabled the ability to automate the construction of genetic constructs using computer-aided design. In this study, we have developed the methodology required to abstract and automate the construction of yeast-compatible designs. We demonstrate the use of our in-house software tool, AMOS, to coordinate with design software, JMP, and robotic liquid handling platforms to successfully manage the construction of a library of 88 yeast expression plasmids. In this proof-of-principle study, we used three fluorescent genes as proxy for three enzyme coding sequences. Our platform has been designed to quickly iterate around a design cycle of four protein coding sequences per plasmid, with larger numbers possible with multiplexed genome integrations in Saccharomyces cerevisiae. This work highlights how developing scalable new biotechnology applications requires a close integration between software development, liquid handling robotics, and protocol development.
AU - Rajakumar,PD
AU - Gowers,G-OF
AU - Suckling,L
AU - Foster,A
AU - Ellis,T
AU - Kitney,RI
AU - McClymont,DW
AU - Freemont,PS
DO - 10.1177/2472630318798304
PY - 2018///
TI - Rapid Prototyping Platform for Saccharomyces cerevisiae Using Computer-Aided Genetic Design Enabled by Parallel Software and Workcell Platform Development.
T2 - SLAS Technol
UR - http://dx.doi.org/10.1177/2472630318798304
UR - https://www.ncbi.nlm.nih.gov/pubmed/30165777
UR - http://hdl.handle.net/10044/1/63436
ER -