Unmasking the halide effect in diastereoselective Grignard reactions applied to C4´ modified nucleoside synthesis
Bibliographic record
Abstract
The Grignard reaction represents one of the most powerful carbon-carbon bond forming reactions and is the subject of continual study. Investigations of alkyl magnesium halide additions to β-hydroxy ketones identified a unique effect of the magnesium halide on diastereoselectivity, with alkylmagnesium iodide reagents demonstrating high levels of selectivity for the formation of 1,3-syn diols. Density functional theory (DFT) calculations and mechanistic studies suggest that the Lewis acidity of a chelated magnesium alkoxide can be tuned by the choice of halide, with the highest levels of diasteroselectivity achieved using alkyl magnesium iodide reagents. Exploiting this finding, we demonstrate that the diastereoselective addition of alkyl magnesium iodide reagents to ketofluorohydrins enables rapid access to naturally configured C4’-modified nucleosides. This work provides a platform to support antiviral and anticancer drug discovery and development efforts. The Grignard reaction represents one of the most powerful carbon-carbon bond forming reactions and is the subject of continual study. Here, the authors report a halide effect on the diastereoselectivity of 1,2-addition reactions to β-hydroxy ketones involving Grignard reagents, serving as a foundation for the rapid production of C4’-modified nucleosides with diversifiable positions at the nucleobase and C4’.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".