Discovery of novel inhibitors of Bcl-xL using multiple high-throughput screening platforms

Jie Qian1, Martin J Voorbach, Jeffrey R Huth

  • 1Department of Biological Screening, Abbott Laboratories, Global Pharmaceutical Research and Development, Abbott Park, IL 60064, USA. jie.qian@abbott.com

Insights

Researchers screened hundreds of thousands of compounds to find new inhibitors of Bcl-xL, a protein involved in cancer. Two novel classes of Bcl-xL inhibitors were identified, offering potential therapeutic strategies.

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Drug Discovery

Background:

  • Bcl-xL, a member of the Bcl-2 protein family, plays a critical role in disease, particularly cancer.
  • Bcl-xL inhibits apoptosis, making its inhibition a potential strategy to restore programmed cell death in cancer treatment.

Purpose of the Study:

  • To identify antagonists of Bcl-xL function through ultra-high-throughput screening.
  • To discover novel classes of Bcl-xL inhibitors for potential therapeutic applications.

Main Methods:

  • Two distinct ultra-high-throughput screening methods were employed: fluorescence polarization and affinity selection/mass spectrometry (ASMS).
  • The fluorescence polarization assay screened 370,400 compounds using a fluorescein-labeled peptide (F-Bad 6) binding assay.
  • The ASMS assay screened 263,382 compounds using ultrafiltration and mass spectrometry to identify Bcl-xL binders.

Main Results:

  • The fluorescence polarization screen identified 425 inhibitors with IC(50) below 100 microM.
  • The ASMS screen identified 29 binders with affinities below 100 microM.
  • Both screening methods identified two novel classes of Bcl-xL inhibitors, confirmed by heteronuclear magnetic resonance spectroscopy.

Conclusions:

  • Ultra-high-throughput screening effectively identified novel Bcl-xL inhibitors.
  • The identified compounds represent promising leads for developing new cancer therapeutics by targeting Bcl-xL.
  • The study validated two complementary screening approaches for identifying protein inhibitors.

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