Biochemical and Structural Analysis of RraA Proteins To Decipher Their Relationships with 4-Hydroxy-4-methyl-2-oxoglutarate/4-Carboxy-4-hydroxy-2-oxoadipate Aldolases
Bibliographic record
Abstract
4-Hydroxy-4-methyl-2-oxoglutarate (HMG)/4-carboxy-4-hydroxy-2-oxoadipate (CHA) aldolases are class II (divalent metal ion dependent) pyruvate aldolases from the meta cleavage pathways of protocatechuate and gallate. The enzyme from Pseudomonas putida F1 is structurally similar to a group of proteins termed regulators of RNase E activity A (RraA) that bind to the regulatory domain of RNase E and inhibit the ribonuclease activity in certain bacteria. Analysis of homologous RraA-like proteins from varying species revealed that they share sequence conservation within the active site of HMG/CHA aldolase. In particular, the P. putida F1 HMG/CHA aldolase has a D-X20-R-D motif, whereas a G-X20-R-D-X2-E/D motif is observed in the structures of the RraA-like proteins from Thermus thermophilus HB8 (TtRraA) and Saccharomyces cerevisiae S288C (Yer010Cp) that may support metal binding. TtRraA and Yer010Cp were found to contain HMG aldolase and oxaloacetate decarboxylase activities. Similar to the P. putida F1 HMG/CHA aldolase, both TtRraA and Yer010Cp enzymes required divalent metal ions for activity and were competitively inhibited by oxalate, a pyruvate enolate analogue, suggesting a common mechanism among the enzymes. The RraA from Escherichia coli (EcRraA) lacked detectable C-C lyase activity. Upon restoration of the G-X20-R-D-X2-E/D motif, by site-specific mutagenesis, the EcRraA variant was able to catalyze oxaloacetate decarboxylation. Sequence analysis of RraA-like gene products found across all the domains of life revealed conservation of the metal binding motifs that can likely support a divalent metal ion-dependent enzyme reaction either in addition to or in place of the putative RraA function.
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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 | 0.001 |
| 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".