Synthesis of Diazaspirocycles for MRCK Inhibitors as Anti-cancer Agents
Bibliographic record
Abstract
<p>In the quest for new therapeutics targeting the metastatic spread of cancer, the synthesis of novel inhibitors for underexplored kinases is at the forefront. Recently, potent and selective inhibitors for a new cancer therapy target in the myotonic dystrophy-related Cdc42-binding kinases (MRCK) have been discovered for the treatment of aggressive cancers. The inhibitors feature a diazaspirocycle that significantly influences potency. While spirocycles are privileged scaffolds in medicinal chemistry, synthetic methods for their construction are limited, and asymmetric methods are in demand to access single enantiomers for biological applications. This work highlights the design and synthesis of diazaspirocycles for MRCK inhibition, focusing on the development of efficient asymmetric methods. Substituted α-amino nitriles are employed as key building blocks to expand the parent heterocycle into the desired bicyclic structure through haloalkylation, reductive cyclization, or direct reductive amination. Chiral directing groups, including naturally occurring menthol and amino alcohols, are assessed for their ability to access the desired enantiomer necessary for MRCK inhibition. The synthetic pathway designed can be applied to a wide range of substrates to create novel spirocyclic inhibitors in the future. As a result, the asymmetric construction of innovative spirocycles for MRCK inhibition opens the door for the discovery of modern therapeutics targeting the spread of aggressive cancers.</p>
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 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".