Molecular characterization of both transesterification reactions of the group II intron circularization pathway
Bibliographic record
Abstract
Group II introns can self-splice from RNA transcripts through branching, hydrolysis and circularization, being released as lariats, linear introns and circles, respectively. In contrast to branching, the circularization pathway is mostly based on assumptions and has been largely overlooked. Here, we address the molecular details of both transesterification reactions of the group II intron circularization pathway in vivo. We show that free E1 is recruited by the intron through base pairing interactions and that released intron circles can generate free E1 by the spliced exon reopening reaction. The first transesterification reaction was found to be induced inaccurately by the 3'OH of the terminal residue of free E1 at the 3' splice site, producing circularization intermediates with heterogeneous 3' ends. Nevertheless, specific terminal 3'OH, selected by a molecular ruler, was shown to precisely attack the 5' splice site and release intron circles with 3'-5' rather than 2'-5' bonds at their circularization junction. Our work supports a circularization model where the recruitment of free E1 and/or displacement of cis-E1 induce a conformational change of the intron active site from the pre-5' to the pre-3' splice site processing conformation, suggesting how circularization might initiate at the 3' instead of the 5' splice site.
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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) | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".