RNase A – tRNA binding alters protein conformation
Bibliographic record
Abstract
Bovine pancreatic ribonuclease A (RNase A) catalyzes the cleavage of P-O5' bonds in RNA on the 3' side of pyrimidine to form cyclic 2',5'-phosphates. Even though extensive structural information is available on RNase A complexes with mononucleotides and oligonucleotides, the interaction of RNase A with tRNA has not been fully investigated. We report the complexation of tRNA with RNase A in aqueous solution under physiological conditions, using a constant RNA concentration and various amounts of RNase A. Fourier transform infrared, UV-visible, and circular dichroism spectroscopic methods were used to determine the RNase binding mode, binding constant, sequence preference, and biopolymer secondary structural changes in the RNase-tRNA complexes. Spectroscopic results showed 2 major binding sites for RNase A on tRNA, with an overall binding constant of K = 4.0 x 105 (mol/L)-1. The 2 binding sites were located at the G-C base pairs and the backbone PO2 group. Protein-RNA interaction alters RNase secondary structure, with a major reduction in alpha helix and beta sheets and an increase in the turn and random coil structures, while tRNA remains in the A conformation upon protein interaction. No tRNA digestion was observed upon RNase A complexation.
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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".