Abstract
NorA is a member of the Major Facilitator Superfamily (MFS) drug efflux pumps that have been shown to mediate antibiotic resistance in Staphylococcus aureus (SA). In this study, QSAR analysis, virtual screening and molecular docking were implemented in an effort to discover novel SA NorA efflux pump inhibitors. Originally, a set of 47 structurally diverse compounds compiled from the literature was used to develop linear QSAR models and another set of 15 different compounds were chosen for extra validation. The final model which was estimated by statistical values for the full data set (n = 45, Q2 = 0.80, RMSE = 0.20) and for the external test set (n = 15, R2 = 0.60, |res|max = 0.75, |res|min = 0.02) was applied on the collection of 182 flavonoides and the traditional Chinese medicine (TCM) database to screen for novel NorA inhibitors. Finally, 33 lead compounds that met the Lipinski's rules of five/three and had good predicted pIC50 values from in silico screening process were employed to analyze the binding ability by docking studies on NorA homology model in place of its unavailable crystal structures at two active sites, the central channel and the Walker B.
Keywords: Antibiotic resistance, docking, QSAR, virtual screening, NorA, staphylococcus aureus.
Graphical Abstract
Call for Papers in Thematic Issues
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Recent Advances in the Medicinal Chemistry of Cancer
Scope of the Thematic Issue: Correlation between structure and function is one of the important aspects of the success of anti-cancer compounds associated with their structure-activity interactions, physiology, biochemical, molecular, and genetic processes. Overcoming these obstacles is key to obtaining further insights into developments in rational drug design, bioorganic chemistry, ...read more
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