Bibliographic record
Abstract
Abstract β-glucosidase catalyzes the hydrolysis of β-1,4 linkage between two glucose molecules in cello-oligosaccharides and is prone to inhibition by the reaction product glucose. Relieving the glucose inhibition of β-glucosidase is a significant challenge. Towards the goal of understanding how glucose interacts with β-glucosidase, we expressed in Escherichia coli, the Hore_15280 gene encoding a β-glucosidase in Halothermothrix orenii. Our results show that the enzyme is glucose tolerant, and its activity stimulated in the presence of up to 0.5 M glucose. NMR analyses show the unexpected interactions between glucose and the β-glucosidase at lower concentrations of glucose that however does not lead to enzyme inhibition. We identified non-conserved residues at the aglycone-binding and the gatekeeper site and show that increased hydrophobicity at the pocket entrance and a reduction in steric hindrances are critical towards enhanced substrate accessibility and significant improvement in activity. Analysis of structures and in combination with molecular dynamics simulations show that glucose increases the accessibility of the substrate by enhancing the structural flexibility of the active site pocket and may explain the stimulation in specific activity up to 0.5 M glucose. Such novel regulation of β-glucosidase activity by its reaction product may offer novel ways of engineering glucose tolerance.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.554 | 0.416 |
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".