5-Methoxybenzothiophene-2-Carboxamides as Inhibitors of Clk1/4: Optimization of Selectivity and Cellular Potency

Ahmed K ElHady1,2, Dalia S El-Gamil1, Po-Jen Chen3,4

  • 1Department of Pharmaceutical Chemistry, Faculty of Pharmacy and Biotechnology, German University in Cairo, Cairo 11835, Egypt.

Insights

New 5-methoxybenzothiophene-2-carboxamide derivatives show high selectivity for Clk1, a promising target in cancer therapy. Compound 10b demonstrates potent inhibition and improved activity against T24 cancer cells.

Area of Science:

  • Medicinal Chemistry
  • Molecular Biology
  • Oncology

Background:

  • CDK-like kinases (Clks) regulate pre-mRNA splicing and are implicated in tumor biology.
  • Clk1 and Clk4 are overexpressed in various human tumors, making them potential therapeutic targets.
  • Existing Clk1 inhibitors often lack selectivity, exhibiting off-target effects on Clk2, Dyrk1A, and Dyrk1B.

Purpose of the Study:

  • To develop novel 5-methoxybenzothiophene-2-carboxamide derivatives with enhanced selectivity for Clk1.
  • To identify potent and selective Clk1 inhibitors for potential cancer therapy.

Main Methods:

  • Synthesis of new 5-methoxybenzothiophene-2-carboxamide derivatives.
  • Evaluation of Clk1 inhibitory activity and selectivity against Clk2, Dyrk1A, and Dyrk1B.
  • Assessment of growth inhibitory activity against T24 cancer cells.
  • Development of a molecular binding model for Clk1.

Main Results:

  • Discovery of compound 10b, a highly selective Clk1 inhibitor (cell-free IC50 = 12.7 nM).
  • Compound 10b exhibits four-fold greater selectivity for Clk1 over Clk2 compared to previous lead compounds.
  • Compound 10b demonstrates significant growth inhibitory activity against T24 cells (GI50 = 0.43 µM).
  • Structure-activity relationships led to a new binding model within the Clk1 ATP pocket.

Conclusions:

  • Novel benzothiophene derivatives offer unprecedented selectivity for Clk1.
  • Compound 10b represents a promising candidate for further development in Clk1-targeted cancer therapy.
  • The established binding model provides insights for future inhibitor design.