Structure and Dynamics of a β-Helical Antifreeze Protein<sup>,</sup>
Bibliographic record
Abstract
Antifreeze proteins (AFPs) protect many types of organisms from damage caused by freezing. They do this by binding to the ice surface, which causes inhibition of ice crystal growth. However, the molecular mechanism of ice binding leading to growth inhibition is not well understood. In this paper, we present the solution structure and backbone NMR relaxation data of the antifreeze protein from the yellow mealworm beetle Tenebrio molitor (TmAFP) to study the dynamics in the context of structure. The full (15)N relaxation analysis was completed at two magnetic field strengths, 500 and 600 MHz, as well as at two temperatures, 30 and 5 degrees C, to measure the dynamic changes that occur in the protein backbone at different temperatures. TmAFP is a small, highly disulfide-bonded, right-handed parallel beta-helix consisting of seven tandemly repeated 12-amino acid loops. The backbone relaxation data displays a periodic pattern, which reflects both the 12-amino acid structural repeat and the highly anisotropic nature of the protein. Analysis of the (15)N relaxation parameters shows that TmAFP is a well-defined, rigid structure, and the extracted parameters show that there is similar restricted internal mobility throughout the protein backbone at both temperatures studied. We conclude that the hydrophobic, rigid binding site may reduce the entropic penalty for the binding of the protein to ice. The beta-helical fold of the protein provides this rigidity, as it does not appear to be a consequence of cooling toward a physiologically relevant temperature.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.002 | 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 teacher head, 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".