R & D Center, Department of Biotechnology, Dayananda Sagar College of Engineering, Bangalore, 560078, Karnataka, India.
Interdiscip Sci. 2014 Mar;6(1):13-24. doi: 10.1007/s12539-014-0170-8. Epub 2014 Jan 28.
Various types of cancer accounts for 10% of total death worldwide which necessitates better therapeutic strategies. Curcumin, a curcuminoid present in Curcuma longa, shown to exhibit antioxidant, anti-inflammatory and anticarcinogenic properties. Present study, we aimed to analyze inhibitory properties of curcumin towards virulent proteins for various cancers by computer aided virtual screening. Based on literature studies, twenty two receptors were selected which have critical virulent functions in various cancer. The binding efficiencies of curcumin towards selected targets were studied by molecular docking. Out of all, curcumin showed best results towards epidermal growth factor (EGF), virulent protein of gastric cancer; glutathione-S-transferase Pi gene (GST-PI), virulent protein for prostate cancer; platelet-derived growth factor alpha (PDGFA), virulent protein for mesothelioma and glioma compared with their natural ligands. The calculated binding energies of their docked conformations with curcumin found to be -7.59 kcal/mol, -7.98 kcal/mol and -7.93 kcal/mol respectively. Further, a comparative study was performed to screen binding efficiency of curcumin with two conventional antitumor agents, litreol and triterpene. Docking studies revealed that calculated binding energies of docked complex of litreol and EGF, GST-PI and PDGFA were found to be -5.08 kcal/mol, -3.69 kcal/mol and -1.86 kcal/mol respectively. The calculated binding energies of triterpene with EGF and PDGFA were found to be -4.02 kcal/mol and -3.11 kcal/mol respectively, whereas GST-PI showed +6.07 kcal/mol, indicate poor binding. The predicted pharmacological features of curcumin found to be better than litreol and triterpene. Our study concluded that curcumin has better interacting properties towards these cancer targets than their normal ligands and conventional antitumor agents. Our data pave insight for designing of curcumin as novel inhibitors against various types of cancer.
各种类型的癌症占全球总死亡人数的 10%,这就需要更好的治疗策略。姜黄素是姜黄中的一种姜黄素,具有抗氧化、抗炎和抗癌特性。本研究旨在通过计算机辅助虚拟筛选分析姜黄素对各种癌症中致病蛋白的抑制特性。根据文献研究,选择了 22 种受体,这些受体在各种癌症中具有关键的致病功能。通过分子对接研究了姜黄素对选定靶标的结合效率。在所有研究中,姜黄素对胃癌的致病蛋白表皮生长因子 (EGF)、前列腺癌的致病蛋白谷胱甘肽-S-转移酶 Pi 基因 (GST-PI)、间皮瘤和神经胶质瘤的致病蛋白血小板衍生生长因子 alpha (PDGFA)的结合效果最好,与天然配体相比。与天然配体相比,其对接构象的计算结合能分别为-7.59 kcal/mol、-7.98 kcal/mol 和-7.93 kcal/mol。进一步,进行了比较研究以筛选姜黄素与两种传统抗肿瘤药物藜芦醇和三萜的结合效率。对接研究表明,藜芦醇与 EGF、GST-PI 和 PDGFA 的对接复合物的计算结合能分别为-5.08 kcal/mol、-3.69 kcal/mol 和-1.86 kcal/mol。三萜与 EGF 和 PDGFA 的计算结合能分别为-4.02 kcal/mol 和-3.11 kcal/mol,而 GST-PI 则显示+6.07 kcal/mol,表明结合不良。预测的姜黄素药理特性优于藜芦醇和三萜。我们的研究表明,姜黄素对这些癌症靶点的相互作用特性优于其正常配体和传统抗肿瘤药物。我们的数据为设计姜黄素作为新型抑制剂对抗各种类型的癌症提供了依据。