The Development of Selective Chemical Probes for Serine Arginine Protein Kinase 3
Bibliographic record
Abstract
ABSTRACT The serine arginine protein kinases (SRPKs) are a family of kinases whose irregular function is implicated in cancer and viral infections. While the roles of SRPK1 and SRPK2 in disease are well established, much less is known about SRPK3. There are several studies implicating SRPK3 in breast cancer, but the mechanism is still unknown. This work describes the first‐reported SRPK3 chemical probes that show excellent selectivity over the other SRPKs. 1‐(4‐cyanophenyl)‐3‐phenylurea was identified as an initial hit for SRPK3 through a kinase screen. Subsequent rounds of in silico docking, medicinal chemistry optimization, and biochemical assays were performed to increase its potency and selectivity for SRPK3. Six top compounds were identified that displayed single digit micromolar IC 50 values in SRPK3 activity assays and negligible inhibition of SRPK1 or SRPK2. These six compounds demonstrated impairment of breast cancer cell viability that correlated with their biochemical IC 50 values, suggesting that they can be used as tools to study the biological functions of SRPK3 in breast cancer. With an enhanced understanding of SRPK3's biological function, it may emerge as a meaningful drug target, wherein our top inhibitors could be further optimized to produce novel cancer therapeutics.
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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".