4.7 Article

Structure-based virtual screening and molecular dynamics simulation for the identification of sphingosine kinase-2 inhibitors as potential analgesics

期刊

JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS
卷 40, 期 23, 页码 12472-12490

出版社

TAYLOR & FRANCIS INC
DOI: 10.1080/07391102.2021.1971559

关键词

Virtual screening; molecular dynamics simulation; sphingosine kinase 2; chronic pain; natural inhibitors

资金

  1. Indian Council of Medical Research [5/3/8/17/ITR-F/2020]
  2. Science and Engineering Research Board [CRG/2020/002621]
  3. Ministry of Human Resource & Development, Government of India [SPARC/2018-2019/P435/SL]
  4. IIT(BHU)

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Neuropathic pain is a significant burden to society with limited effective treatments available. This study utilized virtual screening and molecular docking to identify potential inhibitors of SphK2 for the management of chronic pain, with two compounds showing promise for further development as novel therapeutics.
Neuropathic pain is due to an injury or disease of the somatosensory nervous system, which accounts for a significant economical and health burden to society. Due to poor understanding of their underlying mechanisms, the available treatments merely provide symptomatic relief and precipitates a variety of adverse effects. This suggests that there is an unmet medical need that must be addressed with effective strategies for the development of novel therapeutics. Sphingosine kinase 2 (SphK2) is an oncogenic lipid kinase that has emerged as a promising target for chronic pain and other diseases. In the present study, we have explored the structure-based virtual high-throughput screening of the Nuclei of Bioassays, Ecophysiology, and Biosynthesis of Natural Products Database (NuBBE) to identify potent natural products as inhibitors of SphK2. A molecular docking study was performed to calculate binding affinities and specificity to identify potential leads against SphK2. Initially, hits were selected by the implementation of absorption, distribution, metabolism, excretion and toxicity properties, Lipinski rule, and PAINS filters. The top-scoring hits also exhibiting an optimal ADMET profile were subjected to MM/GBSA free binding free energy calculation and molecular dynamics simulation. The results from molecular dynamics simulation revealed a stable ligand -SphK2 complex with protein and ligand RMSD within reasonable limits. Overall, we identified compounds, NuBBE_972 and NuBBE_1107 as potential inhibitors of SphK2 with optimal pharmacokinetic properties which have the potential to be developed as novel therapeutics for the management of chronic pain.

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