A neurotensin receptor type 1-derived pepducin acts as a biased allosteric modulator to regulate target receptor function
Bibliographic record
Abstract
Pepducins are synthetic membrane-tethered lipopeptides designed to allosterically modulate G protein-coupled receptor (GPCR) signaling. Here, we characterize a series of pepducins targeting the neurotensin receptor type 1 (NTSR1), revealing their complex and multifaceted modulation properties. Using BRET-based biosensors, we show that PP-001, a pepducin derived from NTSR1’s first intracellular loop, preferentially activates G protein over β -arrestin signaling while inhibiting NT binding, NT-induced β -arrestin recruitment, and NTSR1 internalization, thereby acting as biased allosteric agonist and negative allosteric modulator. PP-001 also promotes the formation of both homo- and heteromeric multi-receptor complexes. In vivo , PP-001 elicits potent, sustained hypotensive effects, reversible by the NTSR1 antagonist SR48692. Although the precise mechanism of pepducin-receptor interaction remains unclear, we identify a critical N-terminal RKK motif for PP-001’s biological activity. Finally, thermodenaturation assays using purified NTSR1, combined with mutagenesis and molecular docking, provide evidence for the role of the receptor’s H8 domain in direct pepducin interaction. Together, these findings highlight pepducins as versatile modulators of GPCR function and as valuable pharmacological tools for GPCR-targeted drug development. The NTSR1 pepducin PP-001 biases signaling toward G proteins, inhibits neurotensin binding, and induces sustained hypotension, with functional activity dependent on an N-terminal RKK motif and interaction with the receptor H8 domain.
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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 | 0.001 |
| 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 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".