An Active-Site Bronsted Acid–Base Catalyst Destabilizes Mandelate Racemase and Related Subgroup Enzymes: Implications for Catalysis
Bibliographic record
Abstract
Enzymes of the enolase superfamily (ENS) are mechanistically diverse, yet share a common partial reaction, i.e., the metal-assisted, Bro̷nsted base-catalyzed abstraction of the α-proton from a carboxylate substrate to form an enol(ate) intermediate. Although the catalytic machinery responsible for the initial deprotonation reaction has been conserved, divergent evolution has led to numerous ENS members that catalyze different overall reactions. Using differential scanning calorimetry, we examined the contribution of the Bro̷nsted acid–base catalysts to the thermostability ( T m ) of four members of the mandelate racemase (MR)-subgroup of the ENS: MR, d -tartrate dehydratase, l -talarate/galactarate dehydratase, and l -fuconate dehydratase. Each enzyme contains an active-site Lys (part of a Kx K motif) and His, which act as Bro̷nsted acid–base catalysts. The KxK → KxM substitutions increased the thermostability in all four enzymes with the effect being most prominent for MR (Δ T m = +8.6 °C). The KxK → MxK substitutions decreased the thermostability in all four enzymes, and the His → Asn substitution had a significant stabilizing effect only on MR. Thus, the active sites of MR-subgroup enzymes are destabilized by the Lys Bro̷nsted acid–base catalyst, suggesting that the destabilization energy may be used to drive a conformational change of the enzyme to yield a catalytically competent protonation state upon substrate binding.
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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".