Department of Bioinformatics, Indian Institute of Information Technology, Allahabad, 211012, India.
Interdiscip Sci. 2013 Dec;5(4):286-95. doi: 10.1007/s12539-013-0177-6. Epub 2014 Jan 10.
Curcumin is the yellow pigment of Curcuma longa that irreversibly inhibits the activity of thioredoxin reductase (TrxR) and forms adduct. TrxR, a homodimeric enzyme with E and F chains, is responsible for redox control of the cell and defense against oxidative stress. It is also well known that TrxR is over-expressed in tumor cells. Hence TrxR is a promising target for curcumin based therapy. Binding site of TrxR for curcumin is at the interface of homodimers. In the present study, naturally occurring curcuminoids and forty four synthetic analogs of curcumin were docked with SP/XP glide suite and E-pharmacophore was simulated. E-pharmacophore of both chains has shown three donor features and one acceptor feature. 3D atom based QSAR models have been proposed for the two series of curcumin analogues of known IC50values. The data obtained indicates that the training set model is quite efficient to predict the test set of data. Obtained models and ADMET prediction could be employed for design and synthesis of more potent inhibitors of TrxR.
姜黄素是姜黄的黄色色素,可不可逆地抑制硫氧还蛋白还原酶 (TrxR) 的活性并形成加合物。TrxR 是一种具有 E 和 F 链的同二聚体酶,负责细胞的氧化还原控制和抵御氧化应激。众所周知,TrxR 在肿瘤细胞中过度表达。因此,TrxR 是基于姜黄素治疗的有前途的靶标。TrxR 与姜黄素的结合位点位于同二聚体的界面上。在本研究中,天然存在的姜黄素类化合物和 44 种姜黄素的合成类似物与 SP/XP glide suite 对接,并模拟了 E-药效团。两条链的 E-药效团都显示了三个供体特征和一个受体特征。已经为具有已知 IC50 值的两种姜黄素类似物系列提出了基于 3D 原子的 QSAR 模型。获得的数据表明,训练集模型非常有效地预测了测试集数据。获得的模型和 ADMET 预测可用于设计和合成更有效的 TrxR 抑制剂。