Rollinger Judith M, Bodensieck Antje, Seger Christoph, Ellmerer Ernst P, Bauer Rudolf, Langer Thierry, Stuppner Hermann
Institute of Pharmacy, Department of Pharmacognosy, Leopold-Franzens University of Innsbruck, Innsbruck, Austria.
Planta Med. 2005 May;71(5):399-405. doi: 10.1055/s-2005-864132.
The aim of this study was to compare the efficiency of two well known approaches for the discovery of the bioactive principle/s in medicinal plants, namely the activity-guided isolation versus the computer-aided drug discovery by means of virtual screening (VS) techniques. Morus root bark of Morus sp. L. (Moraceae) was selected as application example for the discovery of compounds with anti-inflammatory activity. The two cyclooxygenase isoenzymes COX-1 and COX-2 were chosen as targets and the corresponding pharmacophore models were generated by our research. The activity-guided fractionation of the methanol extract of the root bark resulted in the isolation of nine compounds. Their structures were elucidated by mass spectrometry, 1- and 2-dimensional NMR experiments and identified as moracins B, M, the regioisomers O/P as a mixture, and sanggenons B, C, D, E and O. The COX-1 and COX-2 inhibiting activities of these compounds were established in an enzyme assay and compared with the predicted hits obtained from the VS. Sanggenons C, E, and O, that were tested the first time for an inhibitory effect on COX-1 and -2, showed IC50 values of 10-14 microM, and 40-50 microM, respectively. The results show that the COX activities obtained for the sanggenons are correctly predicted by the in silico filtering experiment. In the case of the isolated moracins, however, it failed because the COX inhibiting activities of moracins M and P/O were not retrieved by the VS. Structure-activity relationships of the isolated compounds are discussed as well as potential pitfalls and advantages of the applied strategies.
本研究的目的是比较两种知名方法在发现药用植物生物活性成分方面的效率,即活性导向分离法与借助虚拟筛选(VS)技术的计算机辅助药物发现法。桑科桑属植物桑树根皮被选为发现具有抗炎活性化合物的应用实例。选择两种环氧化酶同工酶COX-1和COX-2作为靶点,并由我们的研究生成相应的药效团模型。对根皮甲醇提取物进行活性导向分级分离,得到9种化合物。通过质谱、一维和二维核磁共振实验阐明了它们的结构,鉴定为桑色素B、M、区域异构体O/P混合物以及桑根酮B、C、D、E和O。通过酶测定确定了这些化合物对COX-1和COX-2的抑制活性,并与从虚拟筛选获得的预测命中结果进行比较。首次测试的对COX-1和-2具有抑制作用的桑根酮C、E和O,其IC50值分别为10 - 14 microM和40 - 50 microM。结果表明,通过计算机筛选实验能够正确预测桑根酮的COX活性。然而,对于分离得到的桑色素,该方法失败了,因为虚拟筛选未检索到桑色素M和P/O的COX抑制活性。讨论了分离化合物的构效关系以及所应用策略的潜在缺陷和优势。