Related Experiment Video
Updated: Sep 13, 2025

Prostate Organoid Cultures as Tools to Translate Genotypes and Mutational Profiles to Pharmacological Responses
Published on: October 24, 2019
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.
Abstract:
Despite therapeutic advancements, metastatic and nonmetastatic castration-resistant prostate cancer (mCRPC and nmCRPC) remain incurable due to drug resistance, partly due to Androgen receptor (AR) gene abnormalities and splice variants. An Augmented Artificial Intelligence (AI) -driven virtual drug screening using AtomNet® technology explored an 8 million small molecule library targeting AR allosteric sites to address resistance from AR mutations and AR-V7 splice variant. Screening identified compounds effectively reducing cancer cell growth, with ten actives in hormone-resistant cells. Dose-response assays identified compounds 1, 8, and 77 as most efficacious, exhibiting pIC50 values from < 5.86-4.82. Docking and molecular dynamics (MD) simulations indicated that compound 77 targets both the allosteric site within the AF2 domain and the ligand binding domain of AR. Compounds 1, 8, and 77 were most active in 2D and 3D spheroid assay, with compound 77 showing significant activity in AR+ cells and modest effects in AR-null cells. These compounds surpassed treatments like enzalutamide and galeterone in inhibiting colony and sphere formation, indicating new therapeutic potential. These effects, partly due to AR inhibition, suggest additional mechanisms in inhibiting cancer growth and disrupting models, as seen in PC3 cells. Moreover, the docking analysis indicated that compounds 1, 8, and 77 exhibit binding affinity with the Glucocorticoid receptor (GR). Furthermore, immunofluorescence assay on PC3 cells, demonstrated that compound 77 inhibits the nuclear translocation of GR following dexamethasone treatment, which is used to induce GR nuclear translocation. Furthermore, these findings revealed that compound 77 significantly reduces the transcription of GR and its downstream gene FKBP5, a classical GR target gene. These results substantiate our hypothesis that compound 77, particularly engages in off-target interactions, thereby potentially disrupting cancer growth.
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.
More Related Videos
07:25A Bioluminescent and Fluorescent Orthotopic Syngeneic Murine Model of Androgen-dependent and Castration-resistant Prostate Cancer
Published on: March 6, 2018
06:54MR Molecular Imaging of Prostate Cancer with a Small Molecular CLT1 Peptide Targeted Contrast Agent
Published on: September 3, 2013
Related Concept Videos
Targets for Drug Action: Overview
Receptors are either membrane-spanning or intracellular proteins, which upon binding a ligand, get activated and transmit the signal downstream to elicit a response. Drugs bind receptors, either mimicking the action of endogenous ligands or blocking the receptor activity to bring about a modified response. Nearly 35% of approved drugs target the G...
Targeted Cancer Therapies
There are several types of targeted therapies against...
Adrenergic Antagonists: Chemistry and Classification of ɑ-Receptor Blockers
Nonselective α-blockers: Nonselective α-blockers contain haloalkylamine or imidazoline...
Drug-Receptor Interaction: Agonist
Agonists can bind to receptors in different ways. Some agonists bind directly to the receptor's active site, mimicking the endogenous...
Transducer Mechanism: Enzyme-Linked Receptors
Major types that are helpful drug targets include:
Principles of Drug Action
Drugs can be agonists or antagonists. Like the endogenous ligands, agonists always bind and activate the target to produce a cellular response. Agonist binding induces a conformational change which in turn...