In Silico Identification of JMJD3 Demethylase Inhibitors

J Chem Inf Model. 2018 Oct 22;58(10):2151-2163. doi: 10.1021/acs.jcim.8b00539. Epub 2018 Oct 3.

Abstract

In the search for new demethylase inhibitors, we have developed a multistep protocol for in silico screening. Millions of poses generated by high-throughput docking or a 3D-pharmacophore search are first minimized by a classical force field and then filtered by semiempirical quantum mechanical calculations of the interaction energy with a selected set of functional groups in the binding site. The final ranking includes solvation effects which are evaluated in the continuum dielectric approximation (finite-difference Poisson equation). Application of the multistep protocol to JMJD3 jumonji demethylase has resulted in a dozen low-micromolar inhibitors belonging to five different chemical classes. We have solved the crystal structure of JMJD3 inhibitor 8 in the complex with UTX (a demethylase in the same subfamily as JMJD3) which validates the predicted binding mode. Compound 8 is a promising candidate for future optimization as it has a favorable ligand efficiency of 0.32 kcal/mol per nonhydrogen atom.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Chelating Agents
  • Drug Design*
  • Enzyme Inhibitors / chemistry*
  • Enzyme Inhibitors / pharmacology
  • High-Throughput Screening Assays
  • Histone Demethylases / antagonists & inhibitors*
  • Molecular Docking Simulation*
  • Protein Binding
  • Protein Conformation
  • Structure-Activity Relationship
  • Thermodynamics

Substances

  • Chelating Agents
  • Enzyme Inhibitors
  • Histone Demethylases