scholarly journals Recent Advances in Synthetic Biology Approaches to Optimize Production of Bioactive Natural Products in Actinobacteria

2019 ◽  
Vol 10 ◽  
Author(s):  
Lei Li ◽  
Xiaocao Liu ◽  
Weihong Jiang ◽  
Yinhua Lu
Keyword(s):  
Natural Products ◽  
Synthetic Biology ◽  
Bioactive Natural Products ◽  
Recent Advances

scholarly journals Recent advances in natural products exploitation in Streptomyces via synthetic biology

2019 ◽  
Vol 19 (6) ◽  
pp. 452-462 ◽  
Author(s):  
Qiyuan Zhao ◽  
Liping Wang ◽  
Yunzi Luo
Keyword(s):  
Natural Products ◽  
Synthetic Biology ◽  
Recent Advances

ChemInform Abstract: Recent Advances in the Synthesis of Bioactive Natural Products

ChemInform ◽  
2010 ◽  
Vol 28 (12) ◽  
pp. no-no
Author(s):  
A. G. M. BARRETT ◽  
W. W. DOUBLEDAY ◽  
K. KASDORF ◽  
M. PENA ◽  
G. J. TUSTIN ◽  
...  
Keyword(s):  
Natural Products ◽  
Bioactive Natural Products ◽  
Recent Advances

Recent advances in the synthesis of bioactive natural products

1996 ◽  
Vol 33 (5) ◽  
pp. 1545-1550 ◽  
Author(s):  
A. G. M. Barrett ◽  
W. W. Doubleday ◽  
K. Kasdorf ◽  
M. Pena ◽  
G. J. Tustin ◽  
...  
Keyword(s):  
Natural Products ◽  
Bioactive Natural Products ◽  
Recent Advances

Recent Advances in Separation of Bioactive Natural Products

2013 ◽  
Vol 21 (9) ◽  
pp. 937-952 ◽  
Author(s):  
Qilong REN ◽  
Huabin XING ◽  
Zongbi BAO ◽  
Baogen SU ◽  
Qiwei YANG ◽  
...  
Keyword(s):  
Natural Products ◽  
Bioactive Natural Products ◽  
Recent Advances

scholarly journals Genome Mining as New Challenge in Natural Products Discovery

Marine Drugs ◽  
2020 ◽  
Vol 18 (4) ◽  
pp. 199 ◽  
Author(s):  
Luisa Albarano ◽  
Roberta Esposito ◽  
Nadia Ruocco ◽  
Maria Costantini
Keyword(s):  
Natural Products ◽  
Drug Discovery ◽  
Synthetic Biology ◽  
Anticancer Agents ◽  
Genome Mining ◽  
Bioactive Natural Products ◽  
Advantages And Disadvantages ◽  
A Genome ◽  
Living Organisms ◽  
Natural Drugs

Drug discovery is based on bioactivity screening of natural sources, traditionally represented by bacteria fungi and plants. Bioactive natural products and their secondary metabolites have represented the main source for new therapeutic agents, used as drug leads for new antibiotics and anticancer agents. After the discovery of the first biosynthetic genes in the last decades, the researchers had in their hands the tool to understand the biosynthetic logic and genetic basis leading to the production of these compounds. Furthermore, in the genomic era, in which the number of available genomes is increasing, genome mining joined to synthetic biology are offering a significant help in drug discovery. In the present review we discuss the importance of genome mining and synthetic biology approaches to identify new natural products, also underlining considering the possible advantages and disadvantages of this technique. Moreover, we debate the associated techniques that can be applied following to genome mining for validation of data. Finally, we review on the literature describing all novel natural drugs isolated from bacteria, fungi, and other living organisms, not only from the marine environment, by a genome-mining approach, focusing on the literature available in the last ten years.

scholarly journals Streamlining Natural Products Biomanufacturing With Omics and Machine Learning Driven Microbial Engineering

2020 ◽  
Vol 8 ◽  
Author(s):  
Ahmad Bazli Ramzi ◽  
Syarul Nataqain Baharum ◽  
Hamidun Bunawan ◽  
Nigel S. Scrutton
Keyword(s):  
Machine Learning ◽  
Natural Products ◽  
Metabolic Engineering ◽  
Synthetic Biology ◽  
Production Capacity ◽  
Biosynthetic Pathways ◽  
Biosynthetic Genes ◽  
Bioactive Natural Products ◽  
Beneficial Uses ◽  
Analytical Tools

Increasing demands for the supply of biopharmaceuticals have propelled the advancement of metabolic engineering and synthetic biology strategies for biomanufacturing of bioactive natural products. Using metabolically engineered microbes as the bioproduction hosts, a variety of natural products including terpenes, flavonoids, alkaloids, and cannabinoids have been synthesized through the construction and expression of known and newly found biosynthetic genes primarily from model and non-model plants. The employment of omics technology and machine learning (ML) platforms as high throughput analytical tools has been increasingly leveraged in promoting data-guided optimization of targeted biosynthetic pathways and enhancement of the microbial production capacity, thereby representing a critical debottlenecking approach in improving and streamlining natural products biomanufacturing. To this end, this mini review summarizes recent efforts that utilize omics platforms and ML tools in strain optimization and prototyping and discusses the beneficial uses of omics-enabled discovery of plant biosynthetic genes in the production of complex plant-based natural products by bioengineered microbes.

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