Distinct classes of glyoxalase I: metal specificity of the <i>Yersinia pestis</i>, <i>Pseudomonas aeruginosa</i> and <i>Neisseria meningitidis</i> enzymes
Bibliographic record
Abstract
The metalloisomerase glyoxalase I (GlxI) catalyses the conversion of methylglyoxal-glutathione hemithioacetal and related derivatives into the corresponding thioesters. In contrast with the previously characterized GlxI enzymes of Homo sapiens, Pseudomonas putida and Saccharomyces cerevisiae, we recently determined that Escherichia coli GlxI surprisingly did not display Zn2+-activation, but instead exhibited maximal activity with Ni2+. To investigate whether non-Zn2+ activation defines a distinct, previously undocumented class of GlxI enzymes, or whether the E. coli GlxI is an exception to the previously established Zn2+-activated GlxI, we have cloned and characterized the bacterial GlxI from Yersinia pestis, Pseudomonas aeruginosa and Neisseria meningitidis. The metal-activation profiles for these additional GlxIs firmly establish the existence of a non-Zn2+-dependent grouping within the general category of GlxI enzymes. This second, established class of metal activation was formerly unidentified for this metalloenzyme. Amino acid sequence comparisons indicate a more extended peptide chain in the Zn2+-dependent forms of GlxI (H. sapiens, P. putida and S. cerevisiae), compared with the GlxI enzymes of E. coli, Y. pestis, P. aeruginosa and N. meningitidis. The longer sequence is due in part to the presence of additional regions situated fairly close to the metal ligands in the Zn2+-dependent forms of the lyase. With respect to sequence alignments, these inserts may potentially contribute to defining the metal specificity of GlxI at a structural level.
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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) | 0.000 | 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 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".