Volumetric Characterization of Tri-<i>N</i>-acetylglucosamine Binding to Lysozyme
Bibliographic record
Abstract
Volumetric characteristics of protein recognition events determine the direction of pressure-induced shifts in the recognition reaction, while also providing insights into the structural, dynamic, and hydration changes. We report changes in volume, Δ V, and adiabatic compressibility, Δ K S, accompanying the binding of tri- N -acetylglucosamine [(GlcNAc) 3 ] to lysozyme at 25 °C in a pH 5.5 sodium acetate buffer. We interpret our measured changes in volume and compressibility in terms of changes in hydration and dynamic properties of the protein. On the basis of our Δ V data, we find that 79 ± 44 water molecules are released to the bulk from the hydration shells of the protein and the ligand. Our Δ K S data suggest a 4 ± 2% decrease in the mean-square fluctuations of the intrinsic volume of the protein, ⟨δ V M 2 ⟩ (or a 2% decrease in δ V M ). Thus, the trisaccharide-bound state of the enzyme is less hydrated, more rigid, and less dynamic compared to the unbound state. In general, we discuss the importance of volumetric insights into the molecular origins of protein recognition events.
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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 | 0.001 |
| 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".