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Prioritization of bioactive compounds envisaging yohimbine as a multi targeted anticancer agent: insight from molecular docking and molecular dynamics simulation

  • Nasimudeen R. Jabir
  • , Md Tabish Rehman
  • , Mohamed F. AlAjmi
  • , Bakrudeen Ali Ahmed
  • , Shams Tabrez
  • Ponnaiyah Ramajayam Institute of Science and Technology
  • King Saud University
  • King Fahd Medical Research Center
  • Faculty of Applied Medical Sciences, King Abdulaziz University

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Recently, multi-targeted drugs have attracted much attention in cancer therapy where several therapeutic proteins are targeted by a single agent. Using the published scientific literature, we selected sixteen well-known anticancer targets and seven potential phytobioactive chemicals to find a multitargeted compound by screening through molecular docking. The feasible protein–ligand interaction was further predicted by protein–ligand interaction analysis and molecular dynamic simulation. The phytochemical yohimbine exhibited the lowest docking score in the range of −8.3 to −10.0 kcal/mol over other ligands with all the studied protein targets. Molecular interaction data also revealed the feasible binding of yohimbine with all targets. Moreover, the molecular simulation data also confirmed the stability of protein-ligand complexes with three most scored targets viz. ERK2, PARP1 and PIK3α. Based on our results, yohimbine seems to be the most potent compound out of those selected compounds and can be considered as effective lead molecule against the studied target proteins. Communicated by Ramaswamy H. Sarma.

Original languageEnglish
Pages (from-to)10463-10477
Number of pages15
JournalJournal of Biomolecular Structure and Dynamics
Volume41
Issue number20
DOIs
StatePublished - 2023
Externally publishedYes

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

  • Anticancer
  • molecular dynamic simulation
  • multitargeting
  • protein–ligand interaction
  • virtual screening

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