Structure-Function Relationship of the β-Hairpin of Thermus thermophilus HB27 Laccase
Bibliographic record
Abstract
Thermus thermophilus HB27 laccase (Tth-Lac) is a thermostable enzyme that contains a β-hairpin (Ala292-Gln307) covering the substrate entrance. We analyzed the role of this β-hairpin in the enzymatic activity of Tth-Lac through three β-hairpin mutants: two variants without the β-hairpin (C1Tth-Lac and C2Tth-Lac) and one with a partially modified β-hairpin (P1Tth-Lac). Enzymatic activity was assayed with different substrates with and without copper. C1Tth-Lac showed a higher dependency on copper, increasing its activity by 1600-fold for syringaldazine (SGZ). All mutants presented a higher activity than Tth-Lac with phenolic substrates in the presence of copper. The position of the signal associated with CuT2 also changed, as shown in EPR spectra. Elucidation of the crystal structure of P1Tth-Lac mutant (PDB: 9CPM) showed that the partial deletion of the β-hairpin did not significantly affect the overall tertiary structure compared to the wild-type (PDB: 2xu9) nor the coordination of the four internally bound Cu atoms. Higher B-factors of the residues downstream of the deletion indicate increased flexibility (Q307, G308, P309, S310) that were otherwise more ordered in the Tth-Lac structure. Redox potential experiments on platinum electrodes have shown that all proteins have high redox potential, a finding that could have significant implications in the field of protein research.
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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".