Bibliographic record
Abstract
The term riboswitch usually refers to small molecule sensing regulatory modules in the 5' untranslated regions of a mRNA. They are typically comprised of separate ligand binding and regulatory domains. The T box riboswitch is unique from other identified riboswitches because its effector is an essential macromolecule, tRNA. It senses the aminoacylation state of tRNA to regulate genes involved in a variety of functions relating to amino acid metabolism and tRNA aminoacylation. T box riboswitches performs an intuitively simple process using a complex structured RNA element and, until recently, the underlying mechanisms were poorly understood. Only two sequence-specific contacts had been previously identified: (1) between the specifier sequence (codon) and the tRNA anticodon and (2) between an anti-terminator stem loop and the tRNA acceptor arm CCA tail. tRNA aminoacylation blocks the latter interaction and therefore serves as the switch between termination and anti-termination. Outside of these two contacts, the structure and functions of T box riboswitches have come to light in some recent studies. We recently described the X-ray crystal structure of the highly conserved T box riboswitch distal Stem I region and demonstrated that this region interacts with the tRNA elbow to anchor it to the riboswitch. Independently, Lehmann et al. used sequence homology search to arrive at a similar model for Stem I-tRNA interactions. The model was further supported by two recent structures of the Stem I-tRNA complex, determined independently by our group and by Zhang and Ferré-D'Amaré. This article highlights some of these contributions to synthesize an updated model for tRNA recognition by the T box riboswitch.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".