Identification and characterization of inhibitors of G protein-coupled receptor kinase 6 (GRK6) as potential therapeutics for multiple myeloma
Bibliographic record
Abstract
Multiple myeloma (MM) is one of the most common hematological malignancies, but current therapy options are limited to high-dose chemotherapy or high-risk stem-cell transplantation. In a recent kinome-wide RNAi study by Tiedemann and colleagues (2010), the G-protein coupled receptor kinase 6 (GRK6) was identified as a critical kinase required for survival of MM cells. This study also suggests that MM cells, but not other cell types, are dependent on GRK6; and that gene silencing by shRNA or siRNA of GRK6, but not other GRKs, results in decreased survival. At present, the G protein-coupled receptor (GPCR) signaling mediated by GRK6 in MM cells is not well understood. Through gene silencing techniques and expression of either the wild-type or kinase-dead form of GRK6 protein, we determined that a functional GRK6 kinase domain is required for survival of MM cells. These findings helped validate that the GRK6 kinase domain is a potential target for MM, and have spurred the investigation of small molecule kinase inhibitors of GRK6. By screening a cassette of compounds that are known as kinase inhibitors, compounds with moderate potency in preliminary biochemical assays were identified and further evaluated. As part of this effort we identified CX-4945, which is a known potent and selective ATP-competitive small molecule protein kinase CK2 inhibitor (IC₅₀ of 1 nM for recombinant human CK2α) as a moderately potent inhibitor of GRK6 (IC₅₀ on GRK6 = 300-500 nM). Herein we describe the design and synthesis of novel analogs of CX-4945 and key structure activity relationships (SAR) of this chemical series against GRK6 that serve as a platform for further optimization.
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 | 0.002 | 0.001 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".