Abstract 1070: New potent inhibitors of the androgen receptor that target its BF3 surface binding site.
Bibliographic record
Abstract
Abstract In the development and progression of prostate cancer, the androgen receptor (AR) plays a critical role and its hormone/ligand-binding site is the primary therapeutic target for all antiandrogens (eg Bicalutamide, MDV3100) currently used to treat advanced, metastatic forms of this disease. While treatment with these AR inhibitors initially suppresses prostate tumor growth, resistance to these drugs invariably emerges. Accordingly, there exists a clinical need for the development of new AR antagonists with different chemical structures and different mechanisms of action for targeting and inhibiting AR transactivation. To this end, we have focused on a surface pocket on the AR called Binding Function 3 (BF3). Applying iterative in silico screening to millions of chemicals in the ZINC database, coupled with biological screening for AR binding and activity, we identified several compounds that can bind directly to the BF3 pocket and inhibit AR transactivation. Cell-based screening assays for inhibition of a fluorescent ARE-reporter and PSA expression, together with Biolayer Interferometry analysis for measuring binding to the AR, revealed several chemically distinct BF-3 binders that showed significant IC50 inhibitions of the AR in the nano-molar to low micro-molar range. Validation for binding to the BF3 site was performed by x-ray crystallography. Furthermore, none of these compounds were able to displace DHT from the hormone binding site even at concentrations more than 10-fold higher than their IC50 values. In addition to wild type LNCaP prostate cancer cells, these BF3 binders effectively inhibited cell proliferation (MTS assay) and PSA expression in derived MDV3100-resistant prostate cancer cell lines, but had no effect on cell viability of AR-negative prostate cancer cell lines. In summary, we have identified an entirely new class of anti-androgens that bind to the BF3 surface site of the AR and inhibit its transactivation by a mechanism which does not involve binding to its hormone/ligand binding site and thereby bypasses the treatment resistance seen with conventional antiandrogens. (Supported by funds from the PCF, Canada Safeway, and CIHR). Citation Format: Ravi Munuganti, Fuqiang Ban, Huifang Li, Eric LeBlanc, Peter Axerio, Kate Frewin, Emma Tomlinson Guns, Artem Cherkasov, Paul S. Rennie. New potent inhibitors of the androgen receptor that target its BF3 surface binding site. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 1070. doi:10.1158/1538-7445.AM2013-1070
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".