Perspective on Trends in Drug Discovery: Deciphering GPCRs through Integration of Systems and Synthetic Biology

Author(s):  
Aman Chandra Kaushik ◽  
Shakti Sahi
mSystems ◽  
2019 ◽  
Vol 4 (3) ◽  
Author(s):  
Sylvia Kunakom ◽  
Alessandra S. Eustáquio

ABSTRACT The biosynthetic talent of microorganisms has been harnessed for drug discovery for almost a century. Microbial metabolites not only account for the majority of antibiotics available today, but have also led to anticancer, immunosuppressant, and cholesterol-lowering drugs. Yet, inherent challenges of natural products—including inadequate supply and difficulties with structure diversification—contributed to their deprioritization as a source of pharmaceuticals. In recent years, advances in genome sequencing and synthetic biology spurred a renewed interest in natural products. Bacterial genomes encode an abundance of natural products awaiting discovery. Synthetic biology can facilitate not only discovery and improvements in supply, but also structure diversification. This perspective highlights prior accomplishments in the field of synthetic biology and natural products by the scientific community at large, including research from our laboratory. We also provide our opinion as to where we need to go to continue advancing the field.


2017 ◽  
Vol 1 (3) ◽  
pp. 241-243
Author(s):  
Jeffrey Skolnick

As is typical of contemporary cutting-edge interdisciplinary fields, computational biology touches and impacts many disciplines ranging from fundamental studies in the areas of genomics, proteomics transcriptomics, lipidomics to practical applications such as personalized medicine, drug discovery, and synthetic biology. This editorial examines the multifaceted role computational biology plays. Using the tools of deep learning, it can make powerful predictions of many biological variables, which may not provide a deep understanding of what factors contribute to the phenomena. Alternatively, it can provide the how and the why of biological processes. Most importantly, it can help guide and interpret what experiments and biological systems to study.


2019 ◽  
Author(s):  
Ulrich Schlecht ◽  
Pablo Cordero ◽  
Maureen Hillenmeyer ◽  
Ju Eun Jeon ◽  
Dan Kvitek ◽  
...  

2010 ◽  
Vol 9 (2) ◽  
pp. 131-137 ◽  
Author(s):  
Marnix H. Medema ◽  
Rainer Breitling ◽  
Roel Bovenberg ◽  
Eriko Takano

2020 ◽  
Vol 25 (1) ◽  
pp. 4-6
Author(s):  
Stephanie Brooking

2013 ◽  
pp. 183-206 ◽  
Author(s):  
Ryan E. Cobb ◽  
Yunzi Luo ◽  
Todd Freestone ◽  
Huimin Zhao

Marine Drugs ◽  
2020 ◽  
Vol 18 (4) ◽  
pp. 199 ◽  
Author(s):  
Luisa Albarano ◽  
Roberta Esposito ◽  
Nadia Ruocco ◽  
Maria Costantini

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.


2009 ◽  
Vol 14 (19-20) ◽  
pp. 956-963 ◽  
Author(s):  
Wilfried Weber ◽  
Martin Fussenegger

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