Dahan Arik, Ben-Shabat Shimon, Cohen Noa, Keinan Shahar, Kurnikov Igor, Aponick Aaron, Zimmermann Ellen M
Department of Clinical Pharmacology, School of Pharmacy, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel.
Department of Medicine, University of Florida, Gainesville, FL 32608, USA.
Curr Top Med Chem. 2016;16(23):2543-8. doi: 10.2174/1568026616666160414122913.
In inflammatory bowel disease (IBD) patients, the enzyme phospholipase A2 (PLA2) is overexpressed in the inflamed intestinal tissue, and hence may be exploited as a prodrug-activating enzyme allowing drug targeting to the site(s) of gut inflammation. The purpose of this work was to develop powerful modern computational approaches, to allow optimized a-priori design of phospholipid (PL) based prodrugs for IBD drug targeting. We performed simulations that predict the activation of PL-drug conjugates by PLA2 with both human and bee venom PLA2. The calculated results correlated well with in-vitro experimental data. In conclusion, a-priori drug design using a computational approach complements and extends experimentally derived data, and may improve resource utilization and speed drug development.
在炎症性肠病(IBD)患者中,炎症性肠组织中磷脂酶A2(PLA2)酶过度表达,因此可作为一种前药激活酶,使药物靶向肠道炎症部位。这项工作的目的是开发强大的现代计算方法,以便对基于磷脂(PL)的IBD靶向前药进行优化的先验设计。我们进行了模拟,预测了人源和蜂毒PLA2对PL-药物偶联物的激活作用。计算结果与体外实验数据高度相关。总之,使用计算方法进行先验药物设计补充并扩展了实验得出的数据,并可能提高资源利用率和加快药物开发速度。