Cover Picture: Identification of Labile UDP‐Ketosugars in <i>Helicobacter pylori</i>, <i>Campylobacter jejuni</i> and <i>Pseudomonas aeruginosa</i>: Key Metabolites used to make Glycan Virulence Factors (ChemBioChem 12/2006)
Bibliographic record
Abstract
The cover picture shows 3D models of the pyranose rings of UDP‐sugar metabolites that were identified by examining the PseB reaction from Helicobacter pylori by using NMR spectroscopy. PseB plays an important role in the biosynthesis of pseudaminic acid (Pse)—a sialic acid‐like sugar that is found on the flagella of H. pylori. Pse is essential for bacterial motility and as such is a virulence factor. Since, it is not found in humans, agents that interfere with Pse biosynthesis could offer therapeutic potential. Several bacteria produce sugars that are attractive therapeutic targets. However, their biosynthetic pathways can involve multiple enzymatic reactions that produce unstable metabolites in minute quantities. Examination of the WbjB and WbjC reactions from Pseudomonas aeruginosa , the PglF reaction from C. jejuni and the PseB reaction from C. jejuni and H. pylori with NMR clarified biosynthetic pathways led to the identification of unstable metabolites that had not been previously observed. Further details can be found in the article by D. McNally et al. on p. 1865 ff.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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; both teacher heads agree on what is shown here.
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".