Faghihi, K., Safakish, M., Zebardast, T., Hajimahdi, Z., Zarghi, A. (2019). Molecular Docking and QSAR Study of 2-Benzoxazolinone, Quinazoline and Diazocoumarin Derivatives as Anti-HIV-1 Agents. Iranian Journal of Pharmaceutical Research, 18(3), 1253-1263. doi: 10.22037/ijpr.2019.1100746
Kamyar Faghihi; Mahdieh Safakish; Tannaz Zebardast; Zahra Hajimahdi; Afshin Zarghi. "Molecular Docking and QSAR Study of 2-Benzoxazolinone, Quinazoline and Diazocoumarin Derivatives as Anti-HIV-1 Agents". Iranian Journal of Pharmaceutical Research, 18, 3, 2019, 1253-1263. doi: 10.22037/ijpr.2019.1100746
Faghihi, K., Safakish, M., Zebardast, T., Hajimahdi, Z., Zarghi, A. (2019). 'Molecular Docking and QSAR Study of 2-Benzoxazolinone, Quinazoline and Diazocoumarin Derivatives as Anti-HIV-1 Agents', Iranian Journal of Pharmaceutical Research, 18(3), pp. 1253-1263. doi: 10.22037/ijpr.2019.1100746
Faghihi, K., Safakish, M., Zebardast, T., Hajimahdi, Z., Zarghi, A. Molecular Docking and QSAR Study of 2-Benzoxazolinone, Quinazoline and Diazocoumarin Derivatives as Anti-HIV-1 Agents. Iranian Journal of Pharmaceutical Research, 2019; 18(3): 1253-1263. doi: 10.22037/ijpr.2019.1100746
Molecular Docking and QSAR Study of 2-Benzoxazolinone, Quinazoline and Diazocoumarin Derivatives as Anti-HIV-1 Agents
1Department of Pharmaceutical Chemistry, Faculty of Pharmaceutical Chemistry, Pharmaceutical Sciences Branch, Islamic Azad University, Tehran, Iran.
2Active Pharmaceutical Ingeredients Research Center, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran.
3Department of Medicinal Chemistry, School of Pharmacy, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
4Food and Drug Department, Iran University of Medical Sciences, Tehran, Iran.
5Department of Medicinal Chemistry, School of Pharmacy, Shahid Beheshti University of Medical Sciences, Tehran, Iran
Abstract
A series of 2-benzoxazolinone, diazocoumarin and quinazoline derivatives have been shown to inhibit HIV replication in cell culture. To understand the pharmacophore properties of selected molecules and design new anti-HIV agents, quantitative structure–activity relationship (QSAR) study was developed using a descriptor selection approach based on the stepwise method. Multiple linear regression method was applied to relate the anti-HIV activities of dataset molecules to the selected descriptors. Obtained QSAR model was statistically significant with correlation coefficient R2 of 0.84 and leave one out coefficient Q2 of 0.73. The model was validated by test set molecules giving satisfactory prediction value (R2test) of 0.79. Molecules also were docked on HIV integrase enzyme and showed important interactions with the key residues in enzyme active site. These data might be helpful for design and discovery of novel anti-HIV compounds.
Top