Docking Studies of Triazole Compounds as Potential Inhibitors of Decaprenylphosphoryl-D-ribose ۲′-Epimerase: Towards Novel Therapeutic Strategies for Mycobacterial Diseases

  • سال انتشار: 1403
  • محل انتشار: نشریه آسیایی شیمی سبز، دوره: 8، شماره: 5
  • کد COI اختصاصی: JR_AJGC-8-5_005
  • زبان مقاله: انگلیسی
  • تعداد مشاهده: 140
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نویسندگان

Sandhya Banda

Department of Pharmaceutical Chemistry, Geethanjali College of Pharmacy, Cheeryal (V), Keesara (M), Medchal Dt, Telangana, ۵۰۱ ۳۰۱, India

Sivakumar Ramaiah Ramaiah

Department of Pharmaceutical Chemistry, Geethanjali College of Pharmacy, Cheeryal (V), Keesara (M), Medchal Dt, Telangana, ۵۰۱ ۳۰۱, India

Gayatri Sukumaran

Department of Pharmaceutical Chemistry, Sri Ramachandra Faculty of Pharmacy, Sri Ramachandra Institute of Higher Education and Research (DU), Porur, Chennai- ۶۰۰۱۱۶, Tamil Nadu, India

چکیده

A series of novel triazole derivatives were designed to target the Decaprenylphosphoryl-D-ribose ۲′-epimerase (DprE۱) enzyme by combined ligand and structure-based approach. The designed molecules were then further subjected to molecular docking simulations. Out of ۳۲ designed compounds, the simulations helped to identify critical binding residues as well as probable hydrogen bonding and hydrophobic interactions, providing insight into the ligand-binding mechanism towards DprE۱ inhibitors. As far as antitubercular activity, five designed compounds shown docking scores for oxidoreductase were ۷.۶, -۶.۶, -۷.۳, and -۷.۲ for compounds ۱B, ۳D, ۵D, ۶B, and ۶C, respectively, indicating excellent binding affinity. This work helps the rational design and optimization of drugs targeting DprE۱ for possible anti-tubercular uses by revealing the binding mechanisms and affinities. The discovered interaction patterns serve as a roadmap for further experimental exploration and the advancement of potent DprE۱ inhibitors. Therefore, the interactions between DprE۱ and new triazole derivatives have been thoroughly investigated through this computational study.

کلیدواژه ها

computational analysis, DprE۱, Triazole, Mycobacterium Tuberculosis

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