Title:Computational Studies of N-substituted Quinolinonyl Diketo Acid Derivatives as HIV Integrase Strand Transfer Inhibitors using 3D-QSAR, Pharmacophore Modeling and Molecular Docking
Volume: 14
Issue: 11
Author(s): Yuming Luo, Yujie Ren*Xiaodong Gao
Affiliation:
- School of Chemical and Environmental Engineering, Shanghai Institute of Technology, Shanghai,China
Keywords:
3D-QSAR, molecular docking, integrase strand transfer inhibitors, pharmacophore modeling, AIDs, FDA.
Abstract: Background: Acquired immunodeficiency syndrome is a disease derive from infection
of human immunodeficiency virus, and integrase is an important target for antiviral drugs. Nsubstituted
quinolinonyl diketo acid derivatives as integrase strand transfer inhibitors were investigated
in this work to discuss the relationships between chemical structures and their bioactivities.
Methods: Three-dimensional quantitative structure-activity relationship, pharmacophore, and molecular
docking simulations as computational chemistry tools are used in this study. The crystal
structure of receptors and ligands from protein data bank are also employed.
Results: The structure-activity relationship models with statistically significant parameters are built,
and molecular docking simulation is performed to show the rational interaction of the receptor and
ligand. Besides, the pharmacophore model generated by four potent integrase inhibitors find the
important features which are crucial to the inhibitory activities.
Conclusion: In this series of compounds, the modification of hydrophobic and electronegative substituents
in benzene ring would be benefit for the inhibitory activity against integrase strand transfer.
The hydrophobic interactions and chelating interactions are found in docking simulation result
between receptor and ligand, which indicate the importance of diketo acid chain and quinolinonyl
moiety. All the results could serve as basis for the development of potential integrase inhibitors.