Synthesis, Biological Activity, and Conformational Study of N-Methylated Allatostatin Analogues Inhibiting Juvenile Hormone Biosynthesis
Bibliographic record
Abstract
An allatostatin (AST) neuropeptide mimic (H17) is a potential insect growth regulator, which inhibits the production of juvenile hormone (JH) by the corpora allata. To determine the effect of conformation of novel AST analogues and their ability to inhibit JH biosynthesis, eight insect AST analogues were synthesized using H17 as the lead compound by N-methylation scanning, which is a common strategy for improving the biological properties of peptides. A bioassay using JH production by corpora allata of the cockroach Diploptera punctata indicated that single N-methylation mimics (analogues 1-4) showed more activity than double N-methylation mimics (analogues 5-8). Especially, analogues 1 and 4 showed roughly equivalent activity to that of H17, with IC50 values of 5.17 × 10(-8) and 6.44 × 10(-8) M, respectively. Molecular modeling based on nuclear magnetic resonance data showed that the conformation of analogues 1 and 4 seems to be flexible, whereas analogues 2 and 3 showed a type IV β-turn. This flexible linear conformation was hypothesized to be a new important and indispensable structural element beneficial to the activity of AST mimics.
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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".