Metal Requirements and Phosphodiesterase Activity of tRNase Z Enzymes
Bibliographic record
Abstract
The endonuclease tRNase Z from A. thaliana (AthTRZ1) was originally isolated for its tRNA 3' processing activity. Here we show that AthTRZ1 also hydrolyzes the phosphodiester bond in bis(p-nitrophenyl) phosphate (bpNPP) with a kcat of 7.4 s-1 and a KM of 8.5 mM. We analyzed 22 variants of AthTRZ1 with respect to their ability to hydrolyze bpNPP. This mutational mapping identified fourteen variants that lost the ability to hydrolyze bpNPP and seven variants with reduced activity. Surprisingly, a single amino acid change (R252G) resulted in a ten times higher activity compared to the wild type enzyme. tRNase Z enzymes exist in long and short forms. We show here that in contrast to the short tRNase Z enzyme AthTRZ1, the long tRNase Z enzymes do not have bpNPP hydrolysis activity pointing to fundamental differences in substrate cleavage between the two enzyme forms. Furthermore, we determined the metal content of AthTRZ1 and analyzed the metal requirement for bpNPP hydrolysis. AthTRZ1 shows a high affinity for Zn2+ ions; even upon incubation with metal chelators, 0.76 Zn2+ ions are retained per dimer. In contrast to bpNPP hydrolysis, pre-tRNA processing requires additional metal ions, Mn2+ or Mg2+, as Zn2+ ions alone are insufficient.
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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".