Using Phage Display to Identify Peptides that Bind to the Surface of Helicobacter pylori
Bibliographic record
Abstract
Recent studies have reported high rates of Helicobacter pylori (H. pylori) infection and gastric disease in the remote community of Aklavik (NWT) as compared with urban centers in Alberta. Current therapies fail to eradicate 20-25% of H. pylori infections, which may be related to antimicrobial resistance, poor compliance and, perhaps, inadequate drug delivery strategies. Proteins and unknown outer surface molecules (OSM) found on the bacterial surface of H. pylori play a major role in colonization and pathogen-host interaction. A novel therapeutic that will specifically target the OSM of bacteria and kill them may provide an effective alternative for the eradication of H. pylori infections. To this end, it is essential to identify peptides that bind specifically to the OSM of H. pylori. Phage display library is a tool that can interact with OSM of bacteria by exposing a library of a specific phage, each displaying one kind of the PIII minor coat proteins on its surface. This thesis Identified 20 peptides that bind to the OSM of four isolates of H. pylori, which is a first step towards the development of a targeted treatment for H. pylori infection.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".