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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".