Ul-Haq Zaheer, Ashraf Sajda, Al-Majid Abdullah Mohammed, Barakat Assem
Dr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical & Biological Sciences, University of Karachi, Karachi 75210, Pakistan.
Department of Chemistry, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia.
Int J Mol Sci. 2016 Apr 30;17(5):657. doi: 10.3390/ijms17050657.
Urease enzyme (EC 3.5.1.5) has been determined as a virulence factor in pathogenic microorganisms that are accountable for the development of different diseases in humans and animals. In continuance of our earlier study on the helicobacter pylori urease inhibition by barbituric acid derivatives, 3D-QSAR (three dimensional quantitative structural activity relationship) advance studies were performed by Comparative Molecular Field Analysis (CoMFA) and Comparative Molecular Similarity Indices Analysis (CoMSIA) methods. Different partial charges were calculated to examine their consequences on the predictive ability of the developed models. The finest developed model for CoMFA and CoMSIA were achieved by using MMFF94 charges. The developed CoMFA model gives significant results with cross-validation (q²) value of 0.597 and correlation coefficients (r²) of 0.897. Moreover, five different fields i.e., steric, electrostatic, and hydrophobic, H-bond acceptor and H-bond donors were used to produce a CoMSIA model, with q² and r² of 0.602 and 0.98, respectively. The generated models were further validated by using an external test set. Both models display good predictive power with r²pred ≥ 0.8. The analysis of obtained CoMFA and CoMSIA contour maps provided detailed insight for the promising modification of the barbituric acid derivatives with an enhanced biological activity.
脲酶(EC 3.5.1.5)已被确定为致病微生物中的一种毒力因子,这些致病微生物会导致人类和动物患上不同疾病。在我们之前关于巴比妥酸衍生物对幽门螺杆菌脲酶抑制作用的研究基础上,通过比较分子场分析(CoMFA)和比较分子相似性指数分析(CoMSIA)方法进行了三维定量构效关系(3D-QSAR)的深入研究。计算了不同的部分电荷,以检验它们对所开发模型预测能力的影响。使用MMFF94电荷获得了CoMFA和CoMSIA的最佳开发模型。所开发的CoMFA模型给出了显著结果,交叉验证(q²)值为0.597,相关系数(r²)为0.897。此外,使用了五个不同的场,即空间场、静电场、疏水场、氢键受体场和氢键供体场来生成CoMSIA模型,其q²和r²分别为0.602和0.98。通过使用外部测试集对生成的模型进行了进一步验证。两个模型都显示出良好的预测能力,r²pred≥0.8。对获得的CoMFA和CoMSIA等高线图的分析为有前景的具有增强生物活性的巴比妥酸衍生物修饰提供了详细的见解。