Synthesis of 5-fluoro-β-<scp>D</scp>-glucopyranosyluronic acid fluoride and its evaluation as a mechanistic probe of <i>Escherichia coli </i>β-glucuronidase
Bibliographic record
Abstract
Synthesis of the potential mechanism-based inactivator of β-D-glucuronidases (5-fluoro-β-D-glucopyranosyluronic acid fluoride) was accomplished via a six-step process from D-glucuronic acid that involved radical bromination at C-5 and displacement of the bromide by fluoride. A key step in this process was the masking of the carboxylic acid as a phenacyl ester. This group is uniquely stable to conditions of photobromination and fluoride displacement, yet removable under very mild conditions. Incubation of the Escherichia coli β-glucuronidase with 5-fluoro-β-D-glucopyranosyluronic acid fluoride resulted in time-dependent inactivation of the enzyme through the accumulation of a covalent 5-fluoro-α-D-glucopyranosyluronic acid-enzyme. Peptic digestion of the 5-fluoro-α-D-glucopyranosyluronic acid-enzyme intermediate and subsequent analysis by liquid chromatography coupled to an electrospray ionization triple quadrupole mass spectrometer indicated the presence of a 5-fluoro-α-D-glucopyranosyluronic acid-modified peptide. This peptide was partially purified by HPLC and its sequence determined by tandem mass spectrometry in the daughter ion scan mode, permitting the identification of Glu504 as the catalytic nucleophile within the sequence ITEYGVD. This new reagent is therefore useful for the specific, mechanism-based inactivation of glycuronidases and has good potential in other studies of enzymes of this general class.Key words: β-glucuronidase, catalytic nucleophile, 5-fluoro-β-D-glucopyranosyluronic acid fluoride, electrospray MS.
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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".