Kirubakaran P, Muthusamy K, Singh K H D, Nagamani S
Department of Bioinformatics, Science Block, Alagappa University, Karaikudi-630 004, India.
Indian J Pharm Sci. 2012 Mar;74(2):141-51. doi: 10.4103/0250-474X.103846.
Phosphoinositide-dependent kinase-1 plays a vital role in the PI3-kinase signaling pathway that regulates gene expression, cell cycle growth and proliferation. The common human cancers include lung, breast, blood and prostate possess over stimulation of the phosphoinositide-dependent kinase-1 signaling and making phosphoinositide-dependent kinase-1 an interesting therapeutic target in oncology. A ligand-based pharmacophore and atom-based 3D-QSAR studies were carried out on a set of 82 inhibitors of PDK1. A six point pharmacophore with two hydrogen bond acceptors (A), three hydrogen bond donors (D) and one hydrophobic group (H) was obtained. The pharmacophore hypothesis yielded a 3D-QSAR model with good partial least square statistics results. The training set correlation is characterized by partial least square factors (R(2) = 0.9557, SD = 0.2334, F = 215.5, P = 1.407e-32). The test set correlation is characterized by partial least square factors (Q(2) ext = 0.7510, RMSE = 0.5225, Pearson-R =0.8676). The external validation indicated that our QSAR model possess high predictive power with good value of 0.99 and value of 0.88. The docking results show the binding orientations of these inhibitors at active site amino acid residues (Ala162, Thr222, Glu209 and Glu166) of phosphoinositide-dependent kinase-1 protein. The binding free energy interactions of protein-ligand complex have been calculated, which plays an important role in molecular recognition and drug design approach.
磷酸肌醇依赖性激酶-1在调节基因表达、细胞周期生长和增殖的PI3激酶信号通路中起着至关重要的作用。常见的人类癌症包括肺癌、乳腺癌、血癌和前列腺癌,这些癌症中磷酸肌醇依赖性激酶-1信号过度激活,使得磷酸肌醇依赖性激酶-1成为肿瘤学中一个有趣的治疗靶点。对一组82种PDK1抑制剂进行了基于配体的药效团和基于原子的3D-QSAR研究。获得了一个包含两个氢键受体(A)、三个氢键供体(D)和一个疏水基团(H)的六点药效团。该药效团假说产生了一个具有良好偏最小二乘统计结果的3D-QSAR模型。训练集相关性以偏最小二乘因子表征(R(2) = 0.9557,SD = 0.2334,F = 215.5,P = 1.407e-32)。测试集相关性以偏最小二乘因子表征(Q(2) ext = 0.7510,RMSE = 0.5225,Pearson-R = 0.8676)。外部验证表明我们的QSAR模型具有较高的预测能力,其值为0.99和0.88。对接结果显示了这些抑制剂在磷酸肌醇依赖性激酶-1蛋白活性位点氨基酸残基(Ala162、Thr222、Glu209和Glu166)处的结合取向。已经计算了蛋白质-配体复合物的结合自由能相互作用,这在分子识别和药物设计方法中起着重要作用。