Three genes, lgtF, lic2C and lpsA, have a primary role in determining the pattern of oligosaccharide extension from the inner core of Haemophilus influenzae LPS
Bibliographic record
Abstract
Lipopolysaccharide (LPS) is a virulence determinant of Haemophilus influenzae and exhibits substantial heterogeneity in structure within and between strains. Key factors contributing to this heterogeneity are the genes required to add the first glycose to each of the three heptose residues of the LPS inner core. In each case this addition can facilitate further oligosaccharide extension. lgtF is invariably present in strains and the product has a function in adding the glucose to the first heptose. lic2C is present in half the strains and was found to add a glucose to the second heptose. Insertion of lic2C into a strain that does not naturally contain it resulted in hexose incorporation from the second heptose of the LPS. The product of the lpsA gene can add a glucose or galactose to the third heptose. By allelic replacement of lpsA between strains it is shown that the sequence of the gene can be the sole determinant of this specificity. Thus, lgtF, lic2C and lpsA make significant but very distinct contributions to the conservation and variable patterns of oligosaccharide extensions seen in H. influenzae LPS.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".