Babu Sathya, Rupa Mottadi, Nagarajan Santhosh Kumar, Sohn Honglae, Madhavan Thirumurthy
Department of Bioinformatics, School of Bioengineering, SRM University, SRM Nagar, Kattankulathur, Chennai-603203, India.
Department of Chemistry and Department of Carbon Materials, Chosun University, Gwangju, Korea 501-759.
Comb Chem High Throughput Screen. 2016;19(6):444-60. doi: 10.2174/1386207319666160502123759.
In the present work, molecular modeling studies have been reported on a series of diazine indole acetic acid derivatives to analyze the structure-activity relationship studies of CRTH2 using fragment (Topomer CoMFA and HQSAR) and field (CoMFA and CoMSIA) based QSAR methods. Twenty-six compounds were used as a training set to establish the model, and six compounds were used as a test set to validate the model. The generated models exhibited good statistical results such as correlation coefficient (r2) and the cross-validated correlation coefficient (q2). Topomer CoMFA analysis yielded the q2 of 0.610 and r2 of 0.981. HQSAR model generated using bond and connectivity as fragment distinction and 3-6 as fragment size has the q2 value of 0.707 and conventional r2 value of 0.892 with five components. CoMFA model was assessed by cross-validated q2 value of 0.543 and r2 value of 0.901 with steric and electrostatic fields. CoMSIA model generated using steric, hydrophobic and donor fields with q2 value of 0.550 and r2 value of 0.888 was found to be the optimal model among the various models generated. The contour maps were generated to analyze the important structural features that regulate their inhibitory potency. From the result of contour maps we have suggested the critical sites for chemical modification which will be useful in designing potent compounds with improved activity.
在本研究中,已报道了一系列二嗪吲哚乙酸衍生物的分子建模研究,以使用基于片段(Topomer CoMFA和HQSAR)和场(CoMFA和CoMSIA)的QSAR方法分析CRTH2的构效关系。26种化合物用作训练集来建立模型,6种化合物用作测试集来验证模型。生成的模型表现出良好的统计结果,如相关系数(r2)和交叉验证相关系数(q2)。Topomer CoMFA分析得出q2为0.610,r2为0.981。使用键和连接性作为片段区分且片段大小为3 - 6生成的HQSAR模型,其q2值为0.707,传统r2值为0.892(含五个成分)。CoMFA模型通过空间和静电场的交叉验证q2值0.543和r2值0.901进行评估。发现使用空间、疏水和供体场生成的CoMSIA模型,其q2值为0.550,r2值为0.888,是所生成的各种模型中的最优模型。生成等高线图以分析调节其抑制效力的重要结构特征。根据等高线图的结果,我们提出了化学修饰的关键位点,这将有助于设计具有更高活性的强效化合物。