| Chapter title |
Synthetic biology triggers new era of antibiotics development.
|
|---|---|
| Chapter number | 5 |
| Book title |
Reprogramming Microbial Metabolic Pathways
|
| Published in |
Sub cellular biochemistry, January 2012
|
| DOI | 10.1007/978-94-007-5055-5_5 |
| Pubmed ID | |
| Book ISBNs |
978-9-40-075054-8, 978-9-40-075055-5
|
| Authors |
Wang, Jianfeng, Xiong, Zhiqiang, Meng, Hailin, Wang, Yiguang, Wang, Yong, Jianfeng Wang, Zhiqiang Xiong, Hailin Meng, Yiguang Wang, Yong Wang |
| 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. |
X Demographics
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| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 17% |
| Aruba | 1 | 17% |
| United States | 1 | 17% |
| Canada | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 67% |
| Members of the public | 2 | 33% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 3% |
| Germany | 1 | 3% |
| Unknown | 29 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 13% |
| Other | 3 | 10% |
| Student > Bachelor | 2 | 6% |
| Student > Ph. D. Student | 1 | 3% |
| Lecturer | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 18 | 58% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 16% |
| Agricultural and Biological Sciences | 3 | 10% |
| Computer Science | 1 | 3% |
| Immunology and Microbiology | 1 | 3% |
| Decision Sciences | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 18 | 58% |