A DFT study on the catalytic mechanism of UDP-glucose dehydrogenase
Bibliographic record
Abstract
Uridine 5′-diphosphate glucuronic acid (UDPGlcUA) is a key intermediary metabolite in many species, including pathogenic bacteria and humans. It is biosynthesized from UDP-glucose (UDPGlc) by uridine diphosphate glucose dehydrogenase (UDPGlcDH) via a twofold two-electron–one-proton oxidation that successively transforms the 6-hydroxymethyl of glucopyranose into a formyl, and the latter into the final carboxylic function. The catalytic mechanism of UDPGlcDH was investigated using a large enzyme active-site model in combination with the B3LYP method and the polarizable continuum model (IEF-PCM) self-consistent reaction field. The latter was used to correct for the long-range electrostatic effect of the protein environment. The overall mechanism consists of four catalytic steps: (i) NAD+-dependent oxidation of glucose to glucuronaldehyde, (ii) nucleophilic addition of Cys260–SH to glucuronaldehyde to form a 6-thiohemiacetal intermediate, (iii) NAD+-dependent oxidation of the 6-thiohemiacetal to form a 6-thioester intermediate, and finally, (iv) hydrolysis of the 6-thioester to give glucuronic acid. In addition, this study also provides insight into the debated roles of Lys204 and Asp264, and the most likely protonation state of a reactive Michaelis complex of UDPGlcDH.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".