[Aladan<sup>3</sup>]TIPP: A fluorescent δ‐opioid antagonist with high δ‐receptor binding affinity and δ selectivity
Bibliographic record
Abstract
Fluorescent analogues of the potent and highly selective delta-opioid antagonist TIPP (H-Tyr-Tic-Phe-Phe-OH) and TIP (H-Tyr-Tic-Phe-OH) containing the exceptionally environmentally sensitive fluorescent amino acid beta-(6'-dimethylamino-2'-naphthoyl)alanine (Aladan [Ald]) in place of Phe3 were synthesized. The Ald3- and D-Ald3 analogues of TIPP and TIP all retained delta-opioid antagonist properties. The most potent analogue, [Ald3]TIPP, showed a K(e) value of 2.03 nM in the mouse vas deferens assay and five times higher delta vs. mu selectivity (K(i)mu/K(i)delta = 7930) than the TIPP parent peptide in the opioid receptor binding assays. Theoretical conformational analyses of [Ald3]TIPP and [Ald3]TIP using molecular mechanics calculations resulted in a number of low-energy conformers, including some showing various patterns of aromatic ring stacking and others with the Ald side chain and a carbonyl group (fluorescence quencher) in close proximity. These ensembles of low-energy conformers are in agreement with the results of steady-state fluorescence experiments (fluorescence emission maxima and quantum yields) and fluorescence decay measurements (fluorescence lifetime components), which indicated that the fluorophore was either engaged in intramolecular hydrophobic interactions or in proximity of a fluorescence quencher (e.g., a carbonyl group). These fluorescent TIP(P) delta-opioid antagonists represent valuable pharmacological tools for various applications, including studies on membrane interactions, binding to receptors, cellular uptake and intracellular distribution, and tissue distribution.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".