Synthesis of pyrazole-based macrocycles leads to a highly selective inhibitor for MST3
Bibliographic record
Abstract
Abstract MST1, MST2, MST3, MST4, and YSK1 are conserved members of the mammalian sterile 20 kinase (MST) family. MSTs regulate key cellular functions such as cell proliferation, cell migration, metabolic regulation, and cell polarity. The MST3 isozyme plays a role in regulation of cell growth, autophagy and apoptosis, and its dysregulation has been linked to the occurrence of high-grade tumors with poor survival prognosis. To date, there are no isoform-selective inhibitors available that could be used for validating the role of MST3 in tumorigenesis and to assess its potential as an anti-cancer target for drug development. To this end, we have designed a new series of 3-aminopyrazole-based macrocycles based on the structure of an acyclic promiscuous kinase inhibitor. By varying moieties targeting the solvent-exposed region and optimizing the linker, macrocycle JA310 ( 21c ) was synthesized. JA310 exhibited high cellular potency for MST3 with an EC 50 = 106 nM and excellent kinome-wide selectivity with significantly lower cellular activity on the closely related kinase MST4 (EC 50 = 1.4 µM). The high-resolution crystal structure of the MST3-JA310 complex provided intriguing insights into the distinct binding mode of the macrocycle, which was associated with large-scale structural rearrangements, including concerted induced-fit movements of the glycine-rich loop, the αC helix, and the activation loop. In summary, the developed macrocyclic MST3 inhibitor, JA310, demonstrates the utility of macrocyclization for the design of highly selective inhibitors and presents a first chemical probe for MST3.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".