Flavipesides A–C, PKS-NRPS Hybrids as Pancreatic Lipase Inhibitors from a Marine Sponge Symbiotic Fungus Aspergillus flavipes 164013

2020 ◽  
Vol 22 (5) ◽  
pp. 1825-1829 ◽  
Author(s):  
Wei-Hua Jiao ◽  
Qi-Hang Xu ◽  
Guang-Bo Ge ◽  
Ru-Yi Shang ◽  
Hong-Rui Zhu ◽  
...  
2018 ◽  
Vol 118 ◽  
pp. 2216-2223 ◽  
Author(s):  
Ping-Kun Liu ◽  
Zi-Miao Weng ◽  
Guang-Bo Ge ◽  
Hui-Liang Li ◽  
Le-Le Ding ◽  
...  

Tetrahedron ◽  
2021 ◽  
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Ru-Yi Shang ◽  
Jie Cui ◽  
Jia-Xin Li ◽  
Xian-Xian Miao ◽  
Lu Zhang ◽  
...  

2019 ◽  
pp. 149-191
Author(s):  
S. N. C. Sridhar ◽  
Ginson George ◽  
Aanchal Verma ◽  
Atish Tulshiram Paul

Heterocycles ◽  
2009 ◽  
Vol 78 (6) ◽  
pp. 1497 ◽  
Author(s):  
Tsutomu Ishikawa ◽  
Daisuke Watanabe ◽  
Rie Kerakawati ◽  
Tetsuo Morita ◽  
Tomonori Nakamura ◽  
...  

2020 ◽  
Vol 12 (8) ◽  
pp. 741-757
Author(s):  
Ihab M Almasri

Obesity is becoming one of the greatest threats to global health in the 21st century and therefore the development of novel antiobesity drugs is one of the top priorities of global drug research. An important treatment strategy includes the reduction of intestinal fat absorption through the inhibition of pancreatic lipase (PL). Natural products provide a vast pool of PL inhibitors with novel scaffolds that can possibly be developed into clinical products. Computational drug design methods have become increasingly invaluable in the drug discovery process. In recent years, the discovery of new antiobesity PL inhibitors has been facilitated by the application of computational methods. This review highlights some computer-aided drug design techniques utilized in the discovery of natural PL inhibitors.


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