Quantitative structure-activity relationship based design, synthesis, and evaluation of novel diarylether derivatives as a potent acetylcholinesterase inhibitor and antioxidant to treat cognitive dysfunctions

  • Pavan Srivastava
  • , Prabhash Nath Tripathi
  • , Piyoosh Sharma
  • , Sushant K. Shrivastava

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Some promising acetylcholinesterase (AChE) inhibitors with an antioxidant potential were designed, synthesised, and evaluated for their role in treating cognitive dysfunctions. The in silico Gaussian-based quantitative structureactivity relationship (QSAR), virtual screening (VS), QikProp drug-likeliness prediction and docking pose filtration protocols were adapted to design and screen the novel series of diaryl ether derivatives. Further, the selected compounds were investigated for their molecular binding stability using molecular dynamics (MD) simulation analysis and molecular mechanics generalized born surface area (MM-GBSA). The identified hits were synthesised and evaluated for their in vitro AChE inhibition and antioxidant potential. Among all the synthesized compounds, the compound 39 was observed as potent AChE inhibitor (AChE IC50 = 1.30 ± 0.09 μm; Ki = 0.054 ± 0.009 μM), and also the antioxidant potential of compound 39 (52.9%) was observed significantly better than standard donepezil (<10%) and parallel to ascorbic acid (56.6%). Further, compound 39 ameliorated the scopolamine-induced cognitive impairment in the Y-maze and passive avoidance testsin mice models. Ex vivo and biochemical analysis established the brain AChE inhibitory potential and antioxidant properties of compound 39. The results signified compound 39 to be a promising lead for the treatment of cognitive dysfunctions.

Original languageEnglish
Pages (from-to)124-145
Number of pages22
JournalCurrent Trends in Biotechnology and Pharmacy
Volume13
Issue number2
StatePublished - 2019

Keywords

  • Acetylcholinesterase
  • Antioxidant
  • Diaryl ether
  • QSAR
  • Virtual screening

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