Intermediate activity of midge antifreeze protein is due to a tyrosine‐rich ice‐binding site and atypical ice plane affinity
Bibliographic record
Abstract
UNLABELLED: An antifreeze protein (AFP) from a midge (Chironomidae) was recently discovered and modelled as a tightly wound disulfide-braced solenoid with a surface-exposed rank of stacked tyrosines. New isoforms of the midge AFP have been identified from RT-PCR and are fully consistent with the model. Although they differ in the number of 10-residue coils, the row of tyrosines that form the putative ice-binding site is conserved. Recombinant midge AFP has been produced, and the properly folded form purified by ice affinity. This monomeric AFP has a distinct circular dichroism spectrum, a melting temperature between 35 and 50 °C and is fully renaturable on cooling. Mutagenesis of the middle tyrosine in the rank of seven eliminates antifreeze activity, whereas mutation of a tyrosine off this predicted ice-binding face had no such effect. This AFP has unusual properties compared to other known AFPs. First, its freezing-point depression activity is intermediate between that of the hyperactive and moderately active AFPs. As with hyperactive AFPs, when midge AFP-bound ice crystals exceed their freezing-point depression, ice grows explosively perpendicular to the c-axis. However, midge AFP does not bind to the basal plane of ice as do hyperactive AFPs, but rather to a pyramidal plane that is at a shallower angle relative to the basal plane than binding planes of moderate AFPs. These properties distinguish midge AFP from all other ice-binding proteins and the intermediate activity level fits well to the modest challenge of protecting newly emerged adult insects from late spring frosts. DATABASE: Nucleotide sequences of new midge AFP isoforms are available in the GenBank database under accession numbers KU094814-8. Sequences will be released after publication.
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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".