Mimicry of Peptide Backbone Geometry and Heteroatomic Side-Chain Functionality: Synthesis of Enantiopure Indolizidin-2-one Amino Acids Possessing Alcohol, Acid, and Azide Functional Groups
Bibliographic record
Abstract
Indolizidinone amino acids possessing various heteroatomic side chains at their 5- and 7-positions have been synthesized through modification of hydroxymethyl indolizidinone amino acids 5 and 6. Displacements of the methanesulfonates from alcohols 5 and 6 with sodium azide, as well as oxidation of alcohol 5, have been used to furnish orthogonally protected indolizidin-2-one diamino carboxylates 7 and 8, and indolizidin-2-one amino dicarboxylate 9. Both 5- and 7-hydroxymethylindolizidinone amino acids 5 and 6 were obtained from sequences commencing with the Claisen condensation of alpha-tert-butyl gamma-methyl l-N-(PhF)-L-glutamate to furnish di-tert-butyl 4-carbomethoxy-5-oxo-2,8-di-[N-(PhF)amino]azelate 10 (PhF = 9-(9-phenylfluorenyl)). Subsequent hydride reduction of 10 to an isomeric mixture of diols 12, selective protection of the primary alcohol as tert-butyldimethylsilyl ether 14 and oxidation of the secondary alcohol gave di-tert-butyl 4-tert-butyldimethylsilyloxymethyl-5-oxo-2,8-di-[N-(PhF)amino]azelate 15 as a separable diastereomeric mixture. Linear ketone 15 and alcohol 14 were then converted to the indolizidinone heterocycles by routes featuring reductive aminations, methanesulfonate displacements, and lactam cyclizations. A series of rigid scaffolds designed to mimic the conformations of dipeptides possessing serine, lysine, and glutamate residues has thus been synthesized by this new route for installing heteroatomic side-chain functional groups onto the indolizidin-2-one system.
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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".