Structural Studies of an Novel Sugar Nucleotide Pyranose-Furanose Mutase
Bibliographic record
Abstract
Campylobacter jejuni (Cjj) is the leading cause of gastroenteritis in humans, its glycoconjugates are known to include sugars in the furanose ring conformation. In particular, Cjj HS:41 strains are associated with the development of Guillian-Barré syndrome (GBS) and produce a key virulence factor of the bacterium, namely furanose-based capsular polysaccharides (CPS). To date, the enzymes responsible for furanose biosynthesis in Cjj HS:41 CPS are poorly understood. CPS sequencing has revealed three genes, annotated as glf1-3 via homology to known bacterial UDP-D-galactopyranose mutase (UGM), could be involved in the biosynthetic pathways. Our laboratories are interested in the structure-function relationship behind recognition and discrimination within such pyranose-furanose mutases. Enzymology studies have shown Glf1 is a flavoprotein responsible for isomerization between GDP-6d-D-altro-heptopyranose and GDP-6d-D-altro-heptofuranose, the latter being a major component of CPS. This GDP-altro-heptopyranose mutase (GaHM) activity is the first example of a heptose-recognizing mutase. Given that many of the UGM active site and FAD binding site residues are conserved in GaHM, the catalytic mechanism is likely similar to that of UGM. In order to establish key features of the enzyme, detailed structural information is required. We report here on the structure of Cjj GaHM, which has been co-crystallized with GDP, in both oxidized and reduced states. Due to low sequence identity with bacterial UGMs, Se-MET SAD phasing was ultimately employed to solve the structure. We will also discuss our recent crystallization efforts with Cjj GaHM in the presence of GDP-sugar substrate derivatives. Ultimately, the structural information gleaned from this study could lead to the identification of a new inhibitors targeting the CPS biosynthetic pathway.
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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 | 0.001 |
| 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".