Discovery of a highly potent NPAS3 heterodimer inhibitor by covalently modifying ARNT

Bioorg Chem. 2023 Oct:139:106676. doi: 10.1016/j.bioorg.2023.106676. Epub 2023 Jun 10.

Abstract

Neuronal PAS domain protein 3 (NPAS3), a basic helix-loop-helix PER-ARNT-SIM (bHLH-PAS) family member, is a pivotal transcription factor in neuronal regeneration, development, and related diseases, regulating the expression of downstream genes. Despite several modulators of certain bHLH-PAS family proteins being identified, the NPAS3-targeted compound has yet to be reported. Herein, we discovered a hit compound BI-78D3 that directly blocks the NPAS3-ARNT heterodimer formation by covalently binding to the aryl hydrocarbon receptor nuclear translocator (ARNT) subunit. Further optimization based on the hit scaffold yielded a highly potent Compound 6 with a biochemical EC50 value of 282 ± 61 nM and uncovered the 5-nitrothiazole-2-sulfydryl as a cysteine-targeting covalent warhead. Compound 6 effectively down-regulated NPAS3's transcriptional function by disrupting the interface of NPAS3-ARNT complexes at cellular level. In conclusion, our study identifies the 5-nitrothiazole-2-sulfydryl as a cysteine-modified warhead and provides a strategy that blocks the NPAS3-ARNT heterodimerization by covalently conjugating ARNT Cys336 residue. Compound 6 may serve as a promising chemical probe for exploring NPAS3-related physiological functions.

Keywords: 5-nitrothiazole warhead; Covalent inhibitor; NPAS3; Protein–protein interaction.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aryl Hydrocarbon Receptor Nuclear Translocator* / chemistry
  • Aryl Hydrocarbon Receptor Nuclear Translocator* / metabolism
  • Basic Helix-Loop-Helix Transcription Factors / metabolism
  • Cysteine / metabolism
  • Protein Binding
  • Receptors, Aryl Hydrocarbon* / metabolism

Substances

  • Aryl Hydrocarbon Receptor Nuclear Translocator
  • 5-nitrothiazole
  • Receptors, Aryl Hydrocarbon
  • Cysteine
  • Basic Helix-Loop-Helix Transcription Factors