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  2. Identification of a novel and high affinity MIF inhibitor via structure-based pharmacophore modelling, molecular docking, molecular dynamics simulations, and biological evaluation

Identification of a novel and high affinity MIF inhibitor via structure-based pharmacophore modelling, molecular docking, molecular dynamics simulations, and biological evaluation

  • J Enzyme Inhib Med Chem. 2025 Dec;40(1):2501378. doi: 10.1080/14756366.2025.2501378.
Shang Zhu 1 Shudan Yang 2 Yao Chen 3 Miao-Miao Niu 2 Jun Wang 3 Jindong Li 4 Xuehua Pu 1
Affiliations

Affiliations

  • 1 Department of Critical Care Medicine, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, China.
  • 2 Department of Pharmaceutical Analysis, China Pharmaceutical University, Nanjing, China.
  • 3 Department of Infection Control and Emergency Department, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, China.
  • 4 Institute of Clinical Medicine, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, China.
Abstract

Macrophage migration inhibitory factor (MIF) plays a crucial role in disrupting immune homeostasis and was overexpressed in immune cells. The inhibitors of MIF inhibit the release of inflammatory factors to treat sepsis. Herein, a series of compounds (termed as Hits 1-6) were discovered based on pharmacophore modelling, molecular docking, and interaction analysis. The biaryltriazole inhibitor 3a was used as the positive control. MST and ITC experiments showed that compared to 3a, Hit-1 possessed the highest affinity with MIF. MD simulations exhibited that Hit-1 stably bound to the active pocket of MIF. Pull down experiment showed that Hit-1 could interfere with the binding of MIF to CD74. Furthermore, RT-qPCR demonstrated that Hit-1 suppressed the release of pro-inflammatory cytokines in macrophages including TNF-α, IL-6, and IL-1β. These data demonstrate that Hit-1 may be a promising and high-affinity candidate compound treating sepsis.

Keywords

MD simulations; MIF; biological evaluation; molecular docking; structure-based pharmacophore modelling.

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