Alam Md Afroz, Naik Pradeep Kumar
Department of Bioinformatics and Biotechnology, Jaypee University of Information Technology, Waknaghat, Solan 173215, Himachal Pradesh, India.
J Mol Graph Model. 2009 Jun-Jul;27(8):930-43. doi: 10.1016/j.jmgm.2009.02.003. Epub 2009 Feb 20.
Podophyllotoxin and its analogues have important therapeutic value in the treatment of cancer, due to their ability to induce apoptosis in cancer cells in a proliferation-independent manner. These ligands bind to colchicine binding site of tubulin near the alpha- and beta-tubulin interface and interfere with tubulin polymerization. The binding free energies of podophyllotoxin-based inhibitors of tubulin were computed using a linear interaction energy (LIE) method with a surface generalized Born (SGB) continuum solvation model. A training set of 76 podophyllotoxin analogues was used to build a binding affinity model for estimating the free energy of binding for 36 inhibitors (test set) with diverse structural modifications. The average root mean square error (RMSE) between the experimental and predicted binding free energy values was 0.56kcal/mol which is comparable to the level of accuracy achieved by the most accurate methods, such as free energy perturbation (FEP) or thermodynamic integration (TI). The squared correlation coefficient between experimental and SGB-LIE estimates for the free energy for the test set compounds is also significant (R(2)=0.733). On the basis of the analysis of the binding energy, we propose that the three-dimensional conformation of the A, B, C and D rings is important for interaction with tubulin. On the basis of this insight, 12 analogues of varying ring modification were taken, tested with LIE methodology and then validated with their experimental potencies of tubulin polymerization inhibition. Low levels of RMSE for the majority of inhibitors establish the structure-based LIE method as an efficient tool for generating more potent and specific inhibitors of tubulin by testing rationally designed lead compounds based on podophyllotoxin derivatization.
鬼臼毒素及其类似物在癌症治疗中具有重要的治疗价值,因为它们能够以不依赖增殖的方式诱导癌细胞凋亡。这些配体与微管蛋白的秋水仙碱结合位点在α-和β-微管蛋白界面附近结合,并干扰微管蛋白的聚合。使用线性相互作用能(LIE)方法和表面广义玻恩(SGB)连续介质溶剂化模型计算了基于鬼臼毒素的微管蛋白抑制剂的结合自由能。使用一组76种鬼臼毒素类似物构建结合亲和力模型,以估计36种具有不同结构修饰的抑制剂(测试集)的结合自由能。实验和预测的结合自由能值之间的平均均方根误差(RMSE)为0.56kcal/mol,这与最精确的方法(如自由能微扰(FEP)或热力学积分(TI))所达到的准确度相当。测试集化合物的实验和SGB-LIE自由能估计值之间的平方相关系数也很显著(R(2)=0.733)。基于结合能的分析,我们提出A、B、C和D环的三维构象对于与微管蛋白的相互作用很重要。基于这一见解,选取了12种具有不同环修饰的类似物,用LIE方法进行测试,然后用它们抑制微管蛋白聚合的实验效力进行验证。大多数抑制剂的RMSE较低,这表明基于结构的LIE方法是一种有效的工具,通过测试基于鬼臼毒素衍生化的合理设计的先导化合物,来生成更有效和特异的微管蛋白抑制剂。