GITAM Institute of Pharmacy, GITAM University, Rushikonda, Visakhapatnam 530 045, AP, India.
Bioorg Med Chem Lett. 2010 May 15;20(10):3089-93. doi: 10.1016/j.bmcl.2010.03.104.
Three-dimensional quantitative structure-activity relationship (3D-QSAR) studies were performed for a series of carbonic anhydrase inhibitors using comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) techniques. The large set of 37 different aromatic/heterocyclic sulfonamides carbonic anhydrase (CA, EC 4.2.1.1) inhibitors, such as CA II chosen for the present study. The conventional ligand-based 3D-QSAR studies were performed based on the low energy conformations employing database alignment rule. The ligand-based model gave q(2) values 0.538 and 0.527 and r(2) values 0.974 and 0.971 for CoMFA and CoMSIA, respectively, and the predictive ability of the model was validated. The predicted r(2) values are 0.565 and 0.502 for CoMFA and CoMSIA, respectively. Results indicate that the CoMFA and CoMSIA models could be reliable model which may be used in the design of novel carbonic anhydrase inhibitors as leads.
采用比较分子场分析(CoMFA)和比较分子相似性指数分析(CoMSIA)技术对一系列碳酸酐酶抑制剂进行了三维定量构效关系(3D-QSAR)研究。本研究选择了大量 37 种不同的芳香族/杂环磺酰胺碳酸酐酶(CA,EC 4.2.1.1)抑制剂,如 CA II。基于数据库对齐规则,对基于配体的传统 3D-QSAR 研究进行了低能量构象的研究。基于配体的模型分别给出了 CoMFA 和 CoMSIA 的 q 2 值为 0.538 和 0.527,r 2 值为 0.974 和 0.971,并且验证了模型的预测能力。CoMFA 和 CoMSIA 的预测 r 2 值分别为 0.565 和 0.502。结果表明,CoMFA 和 CoMSIA 模型可能是可靠的模型,可用于设计新型碳酸酐酶抑制剂作为先导化合物。