Identification of Cellular Components Interacting with the Shiga-like Toxin 1 A1 Chain (SLT-1 A1)
Bibliographic record
Abstract
Shiga-like toxin 1 (SLT-1) is produced by Escherichia coli strains like the pathogenic strain O157:H7. These bacterial strains are responsible for worldwide cases of food poisoning and water contamination, and the toxin is a major cause of hemorrhagic colitis and the hemolytic uremia syndrome. SLT-1 is defined as a type II ribosome-inactivating protein (RIP) and belongs to a family of plant and bacterial AB toxins. The A1 chain blocks protein synthesis in eukaryotic cells by depurinating a single adenine base in 28S rRNA. The mechanisms by which the A chain of SLT-1 interacts with the host components to route itself to the cytosol remains largely unknown. This thesis project identified a list of putative cellular proteins that interact with the SLT-1 A1 chain by the use of yeast-2-hybrid (Y2H) screens and HeLa lysate pull down/mass spectrometry analyses. Further assessment of the top 8 host interactors did not yield true interactions.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.002 | 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".