3D-QSAR Studies on Barbituric Acid Derivatives as Urease Inhibitors and the Effect of Charges on the Quality of a Model

作者：Ul Haq Zaheer^*; Ashraf Sajda; Al Majid Abdullah Mohammed; Barakat Assem^*

来源：International Journal of Molecular Sciences, 2016, 17(5): 657.

DOI：10.3390/ijms17050657

• 3D-QSAR
• CoMFA
• CoMSIA
• molecular docking
• barbituric acid derivatives
• urease inhibitor

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 (q(2)) value of 0.597 and correlation coefficients (r(2)) 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 q(2) and r(2) 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 r(2) pred >= 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.

• 出版日期2016-5