Discovery of small molecular inhibitors for interleukin-33/ST2 protein-protein interaction: a virtual screening, molecular dynamics simulations and binding free energy calculations

Mol Divers. 2022 Oct;26(5):2659-2678. doi: 10.1007/s11030-021-10359-4. Epub 2022 Jan 15.

Abstract

The interleukin-1 receptor like ST2 has emerged as a potential drug discovery target since it was identified as the receptor of the novel cytokine IL-33, which is involved in many inflammatory and autoimmune diseases. For the treatment of such IL-33-related disorders, efforts have been made to discover molecules that can inhibit the protein-protein interactions (PPIs) between IL-33 and ST2, but to date no drug has been approved. Although several anti-ST2 antibodies have entered clinical trials, the exploration of small molecular inhibitors is highly sought-after because of its advantages in terms of oral bioavailability and manufacturing cost. The aim of this study was to discover ST2 receptor inhibitors based on its PPIs with IL-33 in crystal structure (PDB ID: 4KC3) using virtual screening tools with pharmacophore modeling and molecular docking. From an enormous chemical space ZINC, a potential series of compounds has been discovered with stronger binding affinities than the control compound from a previous study. Among them, four compounds strongly interacted with the key residues of the receptor and had a binding free energy < - 20 kcal/mol. By intensive calculations using data from molecular dynamics simulations, ZINC59514725 was identified as the most potential candidate for ST2 receptor inhibitor in this study.

Keywords: Binding free energy; Interleukin-33; Molecular dynamics simulations; ST2 inhibitors; Virtual screening.

MeSH terms

  • Interleukin-33*
  • Ligands
  • Molecular Docking Simulation
  • Molecular Dynamics Simulation*
  • Protein Binding
  • Receptors, Interleukin-1
  • Zinc

Substances

  • Interleukin-33
  • Ligands
  • Receptors, Interleukin-1
  • Zinc