Angular Phenozaxine Ethers as Potent Multi-microbial Targets Inhibitors: Design, Synthesis, and Molecular Docking Studies

• Published in: Frontiers in chemistry 2017-11, Vol.5, p.107-107
• Main Authors: Ezeokonkwo, Mercy A, Ogbonna, Onyinyechi N, Okafor, Sunday N, Godwin-Nwakwasi, Evelyn U, Ibeanu, Fidelia N, Okoro, Uchechukwu C
• Format: Article
• Language: English
• Subjects: benzo[a]phenoxazin-5-one; Chemistry; diazabenzo[a]phenoxazin-5-one; ether; molecular docking; multi-drug target; phenols
• ISSN: 2296-2646; 2296-2646
• DOI: 10.3389/fchem.2017.00107

The reaction of diaza-5H-benzo[a]phenoxazin-5-one and 5H-benzo[a]phenoxazin-5-one with various phenols catalyzed by Pd/t-BuXPhos/K PO system gave previously unknown ether derivatives ( and ) in good yields. UV-visible, FTIR, and H NMR data were used to confirm structures of the synthesized compounds. The parent compounds and the derivatives were screened for their drug-likeness and binding affinities to the microbial targets through molecular docking. Molinspiration software and AutoDock were used for the drug-likeness and docking studies, respectively. All the synthesized compounds showed strong drug-likeness. They also showed excellent binding affinities with glucosamine-6-phosphate synthase (2VF5), AmpC beta-lactamase (1KE4), and Lanosterol-14α-demethylase (3JUV), with compound 7e having the highest binding energies -9.5, -9.3, and -9.3 kcal/mol, respectively. These were found to be higher than the binding energies of the standard drugs. The binding energies of ciprofloxacin with 2VF5 and 1KE4 were -7.8 and -7.5 kcal/mol, respectively, while that of ketoconazole with 3JUV was -8.6 kcal/mol. The study showed that the synthesized compounds have multi-target inhibitory effects and can be very useful in multi-drug resistance cases. A 2D quantitative structural activity relationship (QSAR) model against target Glucosamine-6-phosphate synthase (2VF5) was developed using partial least squares regression (PLS) with good internal prediction ( = 0.7400) and external prediction ( _ predicted = 0.5475) via Molecular Operating Environment (2014).