Elumalai Manogaran, Muthaiah Ramanathan, Alf Mohamed Ashraf
Bio-informatics and Pharmacology lab, PSG College of Pharmacy, Coimbatore, India.
Acta Pol Pharm. 2012 Mar-Apr;69(2):237-45.
In the present study, the multiple targets have been identified in the mediation of anti-inflammatory response of curcumin. The anti-inflammatory pathway of curcumin was identified through docking with of curcumin with various inflammation inducing enzymes like glycogen synthase kinase (GSK-3β), p38 mitogen activated protein kinase (MAPK), COX, interleukin-1β converting enzyme (ICE) and tumor necrosis factor-α converting enzyme (TACE). Theoretical docking study was used for the prediction of the conformation orientation and position (pose) of the bioactive compound into the binding pocket and estimation of effective target-ligand interactions (scoring) was utilized for conformational sampling. The final docked conformations were selected according to their scores. The binding target GSK-3β (-6.44) was found to be more selective for curcumin binding when compared with MAPK (-4.08), COX (-7.35), ICE (-4.02), TACE (-6.38) and their respective native ligand. The binding takes place through hydrogen bonding interactions of curcumin with the amino acids in the substrate enzyme. The key amino acids involved were Vall35, Gln185 and Lys85 in GSK-3β. The binding efficiency of curcumin was compared with a standard molecule GF109203 which showed a docking score of - 4.97. These findings enabled us to identify the keto form of curcumin as a best choice of lead compound to target GSK-3β.
在本研究中,已确定姜黄素抗炎反应介导中的多个靶点。通过将姜黄素与多种炎症诱导酶(如糖原合酶激酶(GSK-3β)、p38丝裂原活化蛋白激酶(MAPK)、环氧化酶(COX)、白细胞介素-1β转化酶(ICE)和肿瘤坏死因子-α转化酶(TACE))进行对接,确定了姜黄素的抗炎途径。理论对接研究用于预测生物活性化合物在结合口袋中的构象取向和位置(姿态),并利用有效靶标-配体相互作用的估计(评分)进行构象采样。根据得分选择最终的对接构象。与MAPK(-4.08)、COX(-7.35)、ICE(-4.02)、TACE(-6.38)及其各自的天然配体相比,发现结合靶点GSK-3β(-6.44)对姜黄素结合更具选择性。结合通过姜黄素与底物酶中氨基酸的氢键相互作用发生。GSK-3β中涉及的关键氨基酸是Val135、Gln185和Lys85。将姜黄素的结合效率与对接评分为-4.97的标准分子GF109203进行了比较。这些发现使我们能够确定姜黄素的酮形式是靶向GSK-3β的最佳先导化合物选择。