Imperial College London
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ProfessorPaulFreemont

Faculty of Medicine, Department of Infectious Disease

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{Young:2021:10.1016/j.ymben.2020.12.001,
author = {Young, R and Haines, M and Storch, M and Freemont, PS},
doi = {10.1016/j.ymben.2020.12.001},
journal = {Metabolic Engineering},
pages = {81--101},
title = {Combinatorial metabolic pathway assembly approaches and toolkits for modular assembly},
url = {http://dx.doi.org/10.1016/j.ymben.2020.12.001},
volume = {63},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Synthetic Biology is a rapidly growing interdisciplinary field that is primarily built upon foundational advances in molecular biology combined with engineering design principles such as modularity and interoperability. The field considers living systems as programmable at the genetic level and has been defined by the development of new platform technologies and methodological advances. A key concept driving the field is the Design-Build-Test-Learn cycle which provides a systematic framework for building new biological systems. One major application area for synthetic biology is biosynthetic pathway engineering that requires the modular assembly of different genetic regulatory elements and biosynthetic enzymes. In this review we provide an overview of modular DNA assembly and describe and compare the plethora of in vitro and in vivo assembly methods for combinatorial pathway engineering. Considerations for part design and methods for enzyme balancing are also presented, and we briefly discuss alternatives to intracellular pathway assembly including microbial consortia and cell-free systems for biosynthesis. Finally, we describe computational tools and automation for pathway design and assembly and argue that a deeper understanding of the many different variables of genetic design, pathway regulation and cellular metabolism will allow more predictive pathway design and engineering.
AU  - Young,R
AU  - Haines,M
AU  - Storch,M
AU  - Freemont,PS
DO  - 10.1016/j.ymben.2020.12.001
EP  - 101
PY  - 2021///
SN  - 1096-7176
SP  - 81
TI  - Combinatorial metabolic pathway assembly approaches and toolkits for modular assembly
T2  - Metabolic Engineering
UR  - http://dx.doi.org/10.1016/j.ymben.2020.12.001
UR  - https://www.ncbi.nlm.nih.gov/pubmed/33301873
UR  - http://hdl.handle.net/10044/1/86115
VL  - 63
ER  -
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