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Synthetic Biology Triggers New Era of Antibiotics Development

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Part of the book series: Subcellular Biochemistry ((SCBI,volume 64))

Abstract

As a discipline to design and construct organisms with desired properties, synthetic biology has generated rapid progresses in the last decade. Combined synthetic biology with the traditional process, a new universal workflow for drug development has been becoming more and more attractive. The new methodology exhibits more efficient and inexpensive comparing to traditional methods in every aspect, such as new compounds discovery & screening, process design & drug manufacturing. This article reviews the application of synthetic biology in antibiotics development, including new drug discovery and screening, combinatorial biosynthesis to generate more analogues and heterologous expression of biosynthetic gene clusters with systematic engineering the recombinant microbial systems for large scale production.

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Abbreviations

6dEB:

6-deoxy-erythronolide B

ACP:

acetyl carrier protein

AMPs:

antimicrobial peptides

CHO:

Chinese hamster overy

DMAPP:

dimethylallyl pyrophosphate

DXP:

1-deoxylulose 5-phosphate

eDNA:

environmental DNA

FSEOF:

flux scanning based on enforced objective flux

IPP:

isopentenyl pyrophosphate

LK model:

leu/lys model

MEP:

methylerythritol-phospate

MOMA:

minimization of metabolic adjustment

MRSA:

methicillin-resistant Staphylococcus aureus

MVA:

mevalonate

PSP:

promoter strength predictive

ROOM:

regulatory on/off minimization

TAR:

transformation-associated recombination

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Acknowledgments

This work was supported by the National Basic Research Program of China (973 Program, Grant no. 2012CB721104), the National Natural Science Foundation of China (Grants no. 31170101 and 31100073) and the major Projects of Knowledge Innovation Program of Chinese Academy of Sciences (Grant no. KSCX2-EW-J-12).

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Correspondence to Yong Wang .

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Wang, J., Xiong, Z., Meng, H., Wang, Y., Wang, Y. (2012). Synthetic Biology Triggers New Era of Antibiotics Development. In: Wang, X., Chen, J., Quinn, P. (eds) Reprogramming Microbial Metabolic Pathways. Subcellular Biochemistry, vol 64. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5055-5_5

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