Bibliographic record
Abstract
Ribosome-inactivating proteins (RIPs) are protein toxins produced by organisms ranging from bacteria to plants which specifically damage eukaryotic and prokaryotic ribosomes, rendering them unable to bind elongation factors, and consequently interfering with the elongation steps in translation. RIPs from higher plants can be classified into two categories according to their structures, namely, type I and type II RIPs. Fungal ribotoxins block protein synthesis by inhibiting both the elongation factor 1 (EF-1)- or EF-Tu-dependent binding of aminoacyl-tRNA and the GTP-dependent binding of EF-2 or EF-G to ribosomes. An understanding of the biology of mitogillin and related fungal ribotoxins at the molecular level has become increasingly important because of their potential application as a component of immunotoxins. Mitogillin and related ribotoxins are known to have amino acid sequence similarity to T1-like ribonucleases, with a unique specificity of interaction with the ribosome causing a single ribonucleolytic cleavage in the large-subunit rRNA. Studies have indicated that the similarities and differences detected in amino acid sequence comparison of ribotoxins and a large family of other guanyl ribonucleases may represent domains or residues essential to ribonucleolytic activity and specificity. The chapter finally focuses on ribosomal recognition elements in mitogillin.
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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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".