Palladium-Catalyzed Functionalization of 4-Alkylpyridines: Pyridlyic Dehydrogenation & Mechanistic Investigation of Pyridylic Allylation
Bibliographic record
Abstract
Pyridines are important frameworks in drug development, valued for their ubiquitous presence in biologically active compounds. As such, we have taken a keen interest in developing mild methods for pyridylic functionalization suited for drug discovery. By implementing a soft enolization approach we are able to effect pyridylic functionalization under mild conditions not achieved by traditional pyridylic activation strategies. Employing alkylidene dihydropyridines (ADHPs) as intermediates in palladium-catalysis, the group developed a mild and practical pyridylic allylation method with broad functional group tolerance. In this report, we extend this reactivity to induce pyridylic dehydrogenation as a direct and reliable approach to accessing 4-alkenyl pyridines. Additionally, we detail mechanistic investigation of the allylation analogue conducted to aid our efforts in achieving an enantioselective variant of the transformation.
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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) | 0.004 | 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".