An RNA Aptamer with High Affinity and High Specificity for the 5S RNA Binding Zinc Finger Proteins TFIIIA and p43
Bibliographic record
Abstract
The Xenopus zinc finger proteins TFIIIA and p43 bind to 5S RNA in immature oocytes to form 7S and 42S ribonucleoprotein storage particles. To probe the similarities and differences in the RNA binding domains of these two proteins, a library of random RNA molecules was enriched using TFIIIA as the bait protein. One of the abundant aptamers isolated, RNA22, bound to both TFIIIA and p43 derived zinc finger peptides with high affinity and specificity even though the predicted secondary structure of the RNA was unrelated to that of 5S RNA. The interactions of TFIIIA and p43 peptides with RNA22 were compared to their interactions with 5S RNA by characterizing the effects of assay conditions, mutations in RNA22, and mutations in the zinc finger proteins. The similarities and differences in the mechanisms by which these two zinc finger proteins interact with 5S RNA compared to RNA22 suggest they share a common platform for RNA binding with enough flexibility to form specific interactions with both RNAs.
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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".