Development of dihydropyrrolopyridinone-based PKN2/PRK2 chemical tools to enable drug discovery
Bibliographic record
Abstract
The Protein Kinase N proteins (PKN1, PKN2 and PKN3) are Rho GTPase effectors. They are involved in several biological processes such as cytoskeleton organization, cell mobility, adhesion, and cell cycle. Recently PKNs have been reported as essential for survival in several tumor cell lines, including prostate and breast cancer. Here, we report the development of dihydropyrrolopyridinone-based inhibitors for PKN2 and its closest homologue, PKN1, and their associated structure–activity relationship (SAR). Our studies identified a range of molecules with high potency exemplified by compound 8 with Ki = 8 nM for PKN2 and 14x selectivity over PKN1. Membrane permeability and target engagement for PKN2 were assessed by a NanoBRET cellular assay. Importantly, good selectivity across the wider human kinome and other kinase family members was achieved. These compounds provide strong starting points for lead optimization to PKN1/2 development compounds.
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 | 0.000 |
| 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".