Development of a Potent Cyclic Peptide Inhibitor of the nNOS/PSD-95 Interaction
Bibliographic record
Abstract
-methyl-d-aspartate receptor (NMDAR), neuronal nitric oxide synthase (nNOS), and the postsynaptic density protein-95 (PSD-95) is an attractive therapeutic target for the treatment of acute ischemic stroke. The complex is formed via the PDZ protein domains of PSD-95, and efforts to disrupt the complex have generally been based on C-terminal peptides derived from the NMDAR. However, nNOS binds PSD-95 through a β-hairpin motif, providing an alternative starting point for developing PSD-95 inhibitors. Here, we designed a cyclic nNOS β-hairpin mimetic peptide and generated cyclic nNOS β-hairpin peptide arrays with natural and unnatural amino acids (AAs), which provided molecular insights into this interaction. We then optimized cyclic peptides and identified a potent inhibitor of the nNOS/PSD-95 interaction, with the highest affinity reported thus far for a peptide macrocycle inhibitor of PDZ domains, which serves as a template for the development of treatment for acute ischemic stroke.
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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".