A Kissing Loop Is Important for btuB Riboswitch Ligand Sensing and Regulatory Control
Bibliographic record
Abstract
RNA-based genetic regulation is exemplified by metabolite-binding riboswitches that modulate gene expression through conformational changes. Crystal structures show that the Escherichia coli btuB riboswitch contains a kissing loop interaction that is in close proximity to the bound ligand. To analyze the role of the kissing loop interaction in the riboswitch regulatory mechanism, we used RNase H cleavage assays to probe the structure of nascent riboswitch transcripts produced by the E. coli RNA polymerase. By monitoring the folding of the aptamer, kissing loop, and riboswitch expression platform, we established the conformation of each structural component in the absence or presence of bound adenosylcobalamin. We found that the kissing loop interaction is not essential for ligand binding. However, we showed that kissing loop formation improves ligand binding efficiency and is required to couple ligand binding to the riboswitch conformational changes involved in regulating gene expression. These results support a mechanism by which the btuB riboswitch modulates the formation of a tertiary structure to perform metabolite sensing and regulate gene expression.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".