Synthesis of α-Deoxymono and Difluorohexopyranosyl 1-Phosphates and Kinetic Evaluation with Thymidylyl- and Guanidylyltransferases
Bibliographic record
Abstract
Eight fluorinated isosteric α- d -glucopyranosyl 1-phosphate ( Glc 1P ) analogues have been synthesized. A promiscuity investigation of the thymidylyltransferase Cps2L and the guanidylyltansferase GDP-ManPP with these analogues showed that all were accepted by either enzyme, with the exception of 1,6-diphosphate 6 . Kinetic parameters were determined for these analogues using a continuous coupled assay. These data demonstrated the broad substrate promiscuity of Cps2L, with k cat / K m changes for monofluoro substitution at C-2, C-4, and C-6 and difluoro substitution at C-2 within two orders of magnitude. In contrast, the kinetic analysis of GDP-ManPP was only possible with three out of eight analogues. The p K a 2 values of analogues ( 1 – 3 ) were determined by proton decoupled 31 P and 19 F NMR titration experiments. Counterintuitively, the axial fluoro substituent in 3 did not change chemical shift upon titration, and there was no significant increase in acidity for the difluoro analogue over the monofluoro analogues. No strong Brønsted linear free-energy correlations were observed among all five substrates ( 1 – 3, Glc 1P, and Man 1P ) for either enzyme-catalyzed reactions. However, Brønsted correlations were observed among selected substrates, indicating that the acidity of the nucleophilic phosphate and the configuration of the hexose each plays a significant role in determining the substrate specificity.
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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) | 0.001 | 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 | 0.001 |
| 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".