1,3,5-Tri- and 1,3,4,5-Tetra-Substituted 1,4-Diazepin-2-one Solid-Phase Synthesis
Bibliographic record
Abstract
Solid-phase syntheses of 1,3,5-tri-substituted and 1,3,4,5-tetra-substituted 1,4-diazepin-2-ones 15-18 have been accomplished by employing inexpensive commercially available alpha- and beta-amino acids on Wang resin. Reductive amination of the imine formed by condensation of Wang aldehyde resin respectively with beta-alaninate 2 and beta-homophenylalaninate 3, followed by aminoacylation with a set of alpha-N-Boc amino acids (Phe epsilon-( Z)-Lys, and Leu) gave tertiary amide resins 7 and 8. Exposure of resins 7 and 8 to an excess of vinyl magnesium bromide in the presence of copper cyanide gave the corresponding gamma,delta-unsaturated ketone resins 9 and 10 by way of a cascade addition. Diazepinones were made by Boc deprotection and intramolecular reductive amination. To diversify the heterocycle, N-alkylation was performed using a series of alkyl halides. Alternatively, diazepinones 15e-g were obtained from treatment of methyl beta-alaninate resins 4 and 20 under similar copper-catalyzed cascade conditions to afford the gamma,delta-unsaturated ketone 21, which was acylated using alpha-N-Fmoc-amino acids (Phe, Trp, gamma-(t-Bu)-Glu). Formation of diazepinones 15 followed a similar protocol, after Fmoc removal with piperidine. Cleavage of the heterocycles with TFA/TES 95:5 gave the N1-p-hydroxybenzyl diazepinones 15-18 in overall isolated yields from 6 to 24% after purification in purities ranging from 81 to 100% according to LCMS analysis.
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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) | 0.001 | 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) | 0.004 | 0.002 |
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".