Structure-function analysis of yeast RNA debranching enzyme (Dbr1), a manganese-dependent phosphodiesterase
Bibliographic record
Abstract
Saccharomyces cerevisiae Dbr1 is a 405-amino acid RNA debranching enzyme that cleaves the 2'-5' phosphodiester bonds of the lariat introns formed during pre-mRNA splicing. Debranching appears to be a rate-limiting step for the turnover of intronic RNA, insofar as the steady-state levels of lariat introns are greatly increased in a Deltadbr1 strain. To gain insight to the requirements for yeast Dbr1 function, we performed a mutational analysis of 28 amino acids that are conserved in Dbr1 homologs from other organisms. We identified 13 residues (His13, Asp40, Arg45, Asp49, Tyr68, Tyr69, Asn85, His86, Glu87, His179, Asp180, His231 and His233) at which alanine substitutions resulted in lariat intron accumulation in vivo. Conservative replacements at these positions were introduced to illuminate structure-activity relationships. Residues important for Dbr1 function include putative counterparts of the amino acids that comprise the active site of the metallophosphoesterase superfamily, exemplified by the DNA phosphodiesterase Mre11. Using natural lariat RNAs and synthetic branched RNAs as substrates, we found that mutation of Asp40, Asn85, His86, His179, His231 or His233 to alanine abolishes or greatly diminishes debranching activity in vitro. Dbr1 sediments as a monomer and requires manganese as the metal cofactor for debranching.
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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 | 0.000 |
| 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".