Transition Metal-Catalyzed Reactions of 3-Aza-2-oxabicyclo[2.2.1]hept-5-enes
Bibliographic record
Abstract
Background: Transition metal catalysts are becoming increasingly more important in organic synthesis and are being used to catalyze novel reactions that allow for more efficient synthesis of many pharmaceuticals. Transition metal-catalyzed reactions of 3-aza-2-oxabicyco[2.2.1]hept-5-enes provide efficient synthetic pathways to generate a diverse range of biologically and synthetically useful products. 3-Aza-2- oxabicyclic alkenes undergo three main types of reactions: reductive N-O bond cleavage, C-O bond cleavage, and modification of the alkene component. Objective: The purpose of this review is to summarize and discuss the transition metal-mediated reactions of 3- aza-2-oxabicyclo[2.2.1]hept-5-enes, including the mechanisms of reactions based on the transition metal used, the different stereo- and regiochemical outcomes of reactions with this asymmetrical substrate, and the biological importance of exploring these reactions. Conclusion: It is clear from the review of the topic that a vast amount of work has been done in this area, and transition metals have been used to control the regio- and stereoselective reactions of 3-aza-2-oxabicyclic alkenes to create biologically active and synthetically useful products. The transition metal-catalyzed reactions of 3-aza-2-oxabicyclic alkenes proceed through three general reactions: through cleavage of the N-O bond, cleavage of the C-O bond, and modification of the alkene component. Without the use of transition metals, the substrate would not be activated and these reactions would not be possible. The use of transition metals opens up an array of new reactions that have the ability to create different functional groups with different regio- and stereoselectivities based on the metal and conditions used. The products made through these transition metalcatalyzed reactions can be useful as antibiotics, siderophores, and carbocyclic nucleosides such as noraristeromycin and carbocyclic polyoxin C.
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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) | 0.001 | 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".