Artificial intelligence-based identification of octenidine as a Bcl-xL inhibitor

Anh Thi Ngoc Bui1, Hyojin Son2, Seulki Park1

  • 1Disease Target Structure Research Center, KRIBB, Daejeon, 31441, Republic of Korea.

Insights

Octenidine is identified as a novel inhibitor of the anti-apoptotic protein Bcl-xL. This discovery offers a new strategy for triggering apoptosis in cancer cells, potentially advancing anticancer therapies.

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Pharmacology

Background:

  • Apoptosis is crucial for cellular balance and cancer prevention.
  • Bcl-xL, an anti-apoptotic protein, is a key regulator of mitochondrial apoptosis and a target for cancer treatment.

Purpose of the Study:

  • To identify novel Bcl-xL inhibitors from approved drugs.
  • To elucidate the mechanism of octenidine's interaction with Bcl-xL and its anticancer effects.

Main Methods:

  • Structural feature-based deep learning and molecular docking were used to screen for Bcl-xL inhibitors.
  • Nuclear Magnetic Resonance (NMR) spectroscopy and NanoBiT protein-protein interaction assays were employed to study binding and inhibition.
  • Cell proliferation assays were conducted on MCF-7 breast and H1299 lung cancer cell lines.

Main Results:

  • Octenidine was identified as a novel Bcl-xL inhibitor.
  • NMR confirmed octenidine binds to the BH3 domain-binding hydrophobic region of Bcl-xL.
  • Octenidine inhibited Bcl-xL/Bak-BH3 interaction and promoted apoptosis, reducing cancer cell proliferation.

Conclusions:

  • Octenidine directly targets anti-apoptotic Bcl-xL.
  • Octenidine triggers mitochondrial apoptosis in cancer cells, presenting a potential new anticancer therapeutic strategy.

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