Department of Pharmaceutical Chemistry & Pharmacognosy, Faculty of Pharmacy, Al Azhar University-Gaza, Gaza Strip, Gaza City, Palestine.
Future Med Chem. 2020 Apr;12(8):741-757. doi: 10.4155/fmc-2019-0284. Epub 2020 Mar 26.
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.
肥胖症正成为 21 世纪全球健康的最大威胁之一,因此开发新型减肥药是全球药物研究的重中之重之一。一种重要的治疗策略包括通过抑制胰脂肪酶(PL)来减少肠道脂肪吸收。天然产物为具有新型支架的 PL 抑制剂提供了广阔的来源,这些抑制剂有可能开发成临床产品。计算药物设计方法在药物发现过程中变得越来越不可或缺。近年来,计算方法的应用促进了新型减肥药的发现。本文重点介绍了在发现天然 PL 抑制剂过程中应用的一些计算机辅助药物设计技术。