Abstract A005: A live cell PRMT5 NanoBRET™ target engagement assay querying competitive and uncompetitive modes of inhibition
Bibliographic record
Abstract
Abstract PRMT5 is an essential arginine methyltransferase that regulates a wide spectrum of cellular processes through the methylation of histone and non-histone substrates. In PRMT5 catalysis, SAM serves as the cofactor and methyl group donor, generating a methylated guanidinium moiety on the target substrate. In normal cells, the SAM pools are maintained through the methionine salvage pathway. In 15% of cancers, a key enzyme in this pathway (MTAP) is deleted, leading to an accumulation of the intermediate MTA, which inhibits PRMT5 activity. This genetic loss of function has therefore been pursued as a collateral vulnerability in MTAP deleted cancers. To exploit this synthetic lethality, a number of novel inhibitors (such as MRTX1719) have been developed that bind cooperatively at the PRMT5/MTA complex, offering a compelling pathway to precision medicine. Here we describe a novel, live cell NanoBRET™ Target Engagement assay that enables mechanistic studies on a variety of PRMT5 inhibitors. Using a cell-permeable NanoBRET probe directed to the substrate pocket of PRMT5, both substrate- and cofactor-competitive engagement can be quantified in cells. Moreover, this method can be used to quantify MTA-uncompetitive target engagement in cells, providing a platform to measure the potency of PRMT5-MTA-drug ternary complex formation. This method serves as a first-in-class method to quantify uncompetitive target engagement in live cells, which can be applied to other model systems. Citation Format: Kelly A. Teske, Ani Michaud, Elisabeth Rothweiler, Cesear Corona, Kaitlin Dunn Hoffman, Jennifer Wilkinson, Michael Beck, James Vasta, Kilian Huber, Matthew Robers. A live cell PRMT5 NanoBRET™ target engagement assay querying competitive and uncompetitive modes of inhibition [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Expanding and Translating Cancer Synthetic Vulnerabilities; 2024 Jun 10-13; Montreal, Quebec, Canada. Philadelphia (PA): AACR; Mol Cancer Ther 2024;23(6 Suppl):Abstract nr A005.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".