Cover Picture: CMP‐Pseudaminic Acid is a Natural Potent Inhibitor of PseB, the First Enzyme of the Pseudaminic Acid Pathway in <i>Campylobacter jejuni</i> and <i>Helicobacter pylori</i> (ChemMedChem 1/2008)
Bibliographic record
Abstract
The cover picture shows the six enzymes (Pse B, C, H, G, I, F) responsible for producing CMP-pseudaminic acid (CMP-Pse) starting from UDP-GlcNAc in Campylobacter jejuni and Helicobacter pylori. These pathogens modify their flagella with sialic acid-like sugars such as pseudaminic acid (Pse) which are required for flagellar assembly, motility, and hence virulence. Pse B plays a central role in Pse biosynthesis and is also thought to be implicated in other glycan pathways making it a prime therapeutic target. Saturation transfer difference nuclear magnetic resonance spectroscopy (STD NMR) was used to determine binding epitopes for Pse B and to characterize Pse B inhibition with CMP-Pse at the molecular level. Docking studies and CORCEMA calculations validated STD NMR results and revealed that CMP-Pse and UDP-GlcNAc adopt similar conformations within the Pse B active site. These findings will guide the development of small-molecule inhibitors as a means to pharmaceutically control C. jejuni and H. pylori infections. For details, see the Communication by D. J. McNally, et al. on p. 55 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 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) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.250 | 0.070 |
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".