The targeted recognition of <scp><i>L</i></scp><i>actococcus lactis</i> phages to their polysaccharide receptors
Bibliographic record
Abstract
Each phage infects a limited number of bacterial strains through highly specific interactions of the receptor-binding protein (RBP) at the tip of phage tail and the receptor at the bacterial surface. Lactococcus lactis is covered with a thin polysaccharide pellicle (hexasaccharide repeating units), which is used by a subgroup of phages as a receptor. Using L. lactis and phage 1358 as a model, we investigated the interaction between the phage RBP and the pellicle hexasaccharide of the host strain. A core trisaccharide (TriS), derived from the pellicle hexasaccharide repeating unit, was chemically synthesised, and the crystal structure of the RBP/TriS complex was determined. This provided unprecedented structural details of RBP/receptor site-specific binding. The complete hexasaccharide repeating unit was modelled and found to aptly fit the extended binding site. The specificity observed in in vivo phage adhesion assays could be interpreted in view of the reported structure. Therefore, by combining synthetic carbohydrate chemistry, X-ray crystallography and phage plaquing assays, we suggest that phage adsorption results from distinct recognition of the RBP towards the core TriS or the remaining residues of the hexasacchride receptor. This study provides a novel insight into the adsorption process of phages targeting saccharides as their receptors.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".