Drug-like molecules targeting androgen receptor's allosteric binding sites selected by augmented AI and

Francesca Bruzzese1, Federica Iannelli2, Maria Serena Roca2

  • 1Experimental Animal Unit, Istituto Nazionale per lo Studio e la Cura dei Tumori, "Fondazione Pascale"-IRCCS, Naples, Italy.

Insights

Artificial intelligence identified novel compounds targeting androgen receptor (AR) resistance in prostate cancer. Compound 77 shows significant efficacy, potentially disrupting cancer growth through AR and glucocorticoid receptor (GR) interactions.

Area of Science:

  • Oncology
  • Pharmacology
  • Computational Chemistry

Background:

  • Metastatic and nonmetastatic castration-resistant prostate cancer (mCRPC and nmCRPC) are incurable due to drug resistance.
  • Androgen receptor (AR) gene abnormalities and splice variants contribute to treatment resistance.

Purpose of the Study:

  • To identify novel small molecules targeting AR allosteric sites to overcome resistance in prostate cancer.
  • To investigate the efficacy and mechanisms of action of AI-identified compounds.

Main Methods:

  • Augmented Artificial Intelligence (AI)-driven virtual drug screening of an 8 million small molecule library using AtomNet® technology.
  • Dose-response assays, 2D and 3D spheroid assays, docking, molecular dynamics (MD) simulations, and immunofluorescence assays.

Main Results:

  • Ten compounds showed activity against hormone-resistant prostate cancer cells; compounds 1, 8, and 77 were most efficacious.
  • Compound 77 demonstrated potent inhibition of AR, outperformed enzalutamide and galeterone in spheroid assays, and exhibited off-target interactions with the Glucocorticoid Receptor (GR).
  • Compound 77 inhibited GR nuclear translocation and reduced transcription of GR and its target gene FKBP5.

Conclusions:

  • AI-driven screening identified promising drug candidates for castration-resistant prostate cancer.
  • Compound 77 exhibits therapeutic potential by targeting AR and engaging in off-target interactions with GR, disrupting cancer cell growth.

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