In Silico Identification of Novel Orthosteric Inhibitors of Sphingosine Kinase 1 (SK1)

Author(s): Ozge Bayraktar, Elif Ozkirimli*, Kutlu O. Ulgen

Journal Name: Current Protein & Peptide Science

Volume 19 , Issue 5 , 2018

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Graphical Abstract:


Background: Sphingosine kinase 1 (SK1) overexpression and elevated sphingosine-1-phosphate (S1P) levels have been correlated with many disease states from cancer to inflammatory diseases to diabetes. Even though SK1 inhibitors are of consideberable interest as effective chemotherapeutic agents, poor potency, lack of selectivity and poor pharmacokinetic properties have been major problems in the first generation SK1 inhibitors.

Objective: There is an urgent need for the discovery of novel in vivo, stable selective SK1 inhibitors with improved potency. The primary object of this study was to identify potential novel leads for orthosteric inhibition of SK1.

Methods: We propose a series of compounds from different chemotypes as potential selective SK1 inhibitors via virtual screening of the ZINC database using ligand-based and structure-based pharmacophore models, molecular docking, substructure search, selectivity calculations. Molecular dynamics (MD) simulations revealed key insights into the binding mode and the stability of the SK1-ligand complex.

Results: Ten ligands were proposed as potential SK1 inhibitors based on the high induced fit docking scores, BEI, LLE and %HOA. Ligands 2, 3, 5 and 9 were found to be selective toward SK1 with favorable binding free energy of - 95 ± 5 kcal/mol. MD simulation of ligand 5 showed that the ligand-SK1 complex reached equilibrium with favorable hydrogen bonding and hydrophobic interactions. The four selective compounds have less than 0.24 similarity with previously discovered potent inhibitors.

Conclusion: The proposed compounds may serve as potential novel leads for orthosteric inhibition of SK1.

Keywords: Sphingosine kinase 1, sphingosine-1-phosphate, cancer, inhibitor, docking, pharmacophore modeling, 3D-QSAR, molecular dynamics.

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Article Details

Year: 2018
Published on: 22 March, 2018
Page: [430 - 444]
Pages: 15
DOI: 10.2174/1389203718666161108092842
Price: $65

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