Bibliographic record
Abstract
Metabolomics is essentially the study of all low molecular weight molecules in a biological system under defined conditions. In glycomics, there is much potential to gain insight into the biosynthesis of novel glycoconjugate structures by probing the metabolome for substrates that are suspected, or known, to be involved in the biosynthetic processes. Recently, we employed the use of hydrophilic interaction liquid chromatography-mass spectrometry (HILIC-MS) in a focused metabolomic study of sugar-nucleotides relevant to the biosynthesis of highly novel carbohydrate modifications on the flagellin of Campylobacter sp. We exploited the unique selectivity of the HILIC-MS method for discriminating between closely related sugar-nucleotide intermediates and allowed their subsequent structural identification using a combination of high-resolution mass spectrometry and nuclear magnetic resonance (NMR) spectroscopy. In addition, the HILIC-MS method permitted screening of selected isogenic mutants for sugar-nucleotide intermediates to determine a role for the corresponding genes on the flagellin glycosylation locus in the biosynthesis of the novel carbohydrate modifications.
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.006 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".