An RNA Aptamer with High Affinity and Broad Specificity for Zinc Finger Proteins
Bibliographic record
Abstract
A class of RNA aptamers that demonstrates a high affinity for a large variety of C(2)H(2) zinc finger proteins was isolated from a library of random RNA sequences by the zinc finger protein TFIIIA. These aptamers have one or more copies of the consensus sequence GGGUGGG, which is part of a putative hairpin loop in the proposed structure of the most abundant aptamer, RNA1. Binding of zinc finger proteins to RNA1 relies upon zinc-dependent folding of the protein, the affinity of an individual protein for RNA1 being determined by the number of tandem zinc finger motifs. The properties of RNA1 were compared to the properties of two other aptamers from the same selection experiment: RNA21, which binds to some but not all zinc finger proteins tested, and RNA22, which binds only to the 5S rRNA binding zinc finger proteins TFIIIA and p43. The binding of three different zinc finger proteins to RNA1 was compared, and the results indicate that the RNA1-protein interaction occurs by several distinct mechanisms. Mutagenesis of RNA1 confirmed that the GGGUGGG consensus sequence presented in a hairpin conformation is required for high-affinity binding of zinc finger proteins.
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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) | 0.001 | 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 | 0.000 |
| 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".