The highly conserved glutamic acid 791 of Rpb2 is involved in the binding of NTP and Mg(B) in the active center of human RNA polymerase II
Bibliographic record
Abstract
During transcription by RNA polymerase (RNAP) II, the incoming ribonucleoside triphosphate (NTP) enters the catalytic center in association with an Mg2+ ion, termed metal B [Mg(B)]. When bound to RNAP II, Mg(B) is coordinated by the beta and gamma phosphates of the NTP, Rpb1 residues D481 and D483 and Rpb2 residue D837. Rpb2 residue D837 is highly conserved across species. Notably, its neighboring residue, E836 (E791 in human RNAP II), is also highly conserved. To probe the role of E791 in transcription, we have affinity purified and characterized a human RNAP II mutant in which this residue was substituted for alanine. Our results indicate that the transcription activity of the Rpb2 E791A mutant is impaired at low NTP concentrations both in vitro and in vivo. They also revealed that both its NTP polymerization and transcript cleavage activities are decreased at low Mg concentrations. Because Rpb2 residue E791 appears to be located too far from the NTP-Mg(B) complex to make direct contact at either the entry (E) or addition (A) site, we propose alternative mechanisms by which this highly conserved residue participates in loading NTP-Mg(B) in the active site during transcription.
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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) | 0.001 | 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) | 0.001 | 0.001 |
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".