Bibliographic record
Abstract
Cancer is a leading cause of deaths worldwide, so new treatment pathways are vital. Targeted therapies are one of many treatments for the disease. They can target proteins that are implicated in cancer metastasis. Myotonic dystrophy kinase-related CDC42-binding kinases (MRCK) are important central regulators of the actin-myosin cytoskeleton that contributes to tumour cell invasiveness and is a powerful driver of metastasis. MRCK inhibitors have been hypothesized to limit the invasive character of different cancers. Considering that there are only a handful MRCK inhibitors in the literature, the synthesis of novel MRCK is crucial to understand the function of the kinase as well as develop new therapeutics. Currently, BDP9066, is the most potent and selective MRCK inhibitor to date. Given this lead, we hypothesized that derivatized triazoles inhibitors would be as potent as BDP9066 while allowing for a diverse range of new inhibitors to be synthesized. These new MRCK inhibitors were synthesized using simple yet versatile sets of synthetic methods, allowing or rapid diversification of azaindole scaffolds.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".