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Unveiling Phytoconstituents with Inhibitory Potential Against Tyrosine-Protein Kinase Fyn: A Comprehensive Virtual Screening Approach Targeting Alzheimer's Disease

  • Mohammed Alrouji
  • , Taghreed A. Majrashi
  • , Fahad A. Alhumaydhi
  • , Ali Zari
  • , Talal A. Zari
  • , Waleed Al Abdulmonem
  • , Sharaf E. Sharaf
  • , Moyad Shahwan
  • , Saleha Anwar
  • , Anas Shamsi
  • , Akhtar Atiya
  • Shaqra University
  • King Khalid University
  • Qassim University
  • Faculty of Sciences, King Abdulaziz University
  • King Abdulaziz University
  • Umm Al-Qura University
  • Jamia Millia Islamia

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Background: Tyrosine-protein kinase Fyn (Fyn) is a critical signaling molecule involved in various cellular processes, including neuronal development, synaptic plasticity, and disease pathogenesis. Dysregulation of Fyn kinase has been implicated in various complex diseases, including neurodegenerative disorders such as Alzheimer's and Parkinson's diseases, as well as different cancer types. Therefore, identifying small molecule inhibitors that can inhibit Fyn activity holds substantial significance in drug discovery. Objective: The aim of this study was to identify potential small-molecule inhibitors among bioactive phytoconstituents against tyrosine-protein kinase Fyn. Methods: Through a comprehensive approach involving molecular docking, drug likeliness filters, and molecular dynamics (MD) simulations, we performed a virtual screening of a natural compounds library. This methodology aimed to pinpoint compounds potentially interacting with Fyn kinase and inhibiting its activity. Results: This study finds two potential natural compounds: Dehydromillettone and Tanshinone B. These compoundsdemonstrated substantial affinity and specific interactions towards the Fyn binding pocket. Their conformations exhibitedcompatibility and stability, indicating the formation of robust protein-ligand complexes. A significant array of non-covalentinteractions supported the structural integrity of these complexes. Conclusion: Dehydromillettone and Tanshinone B emerge as promising candidates, poised for further optimization as Fynkinase inhibitors with therapeutic applications. In a broader context, this study demonstrates the potential of computationaldrug discovery, underscoring its utility in identifying compounds with clinical significance. The identified inhibitors holdpromise in addressing a spectrum of cancer and neurodegenerative disorders. However, their efficacy and safety necessitatevalidation through subsequent experimental studies.

Original languageEnglish
Pages (from-to)827-844
Number of pages18
JournalJournal of Alzheimer's Disease
Volume96
Issue number2
DOIs
StatePublished - 7 Nov 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Alzheimer's disease
  • drug discovery
  • molecular dynamics simulations
  • phytochemicals
  • tyrosine-protein kinase Fyn
  • virtual screening

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