The Thr- and Ala-Rich Hyperactive Antifreeze Protein from Inchworm Folds as a Flat Silk-like β-Helix
Bibliographic record
Abstract
Inchworm larvae of the pale beauty geometer moth, Campaea perlata, exhibit strong (6.4 °C) freezing point depression activity, indicating the presence of hyperactive antifreeze proteins (AFPs). We have purified two novel Thr- and Ala-rich AFPs from the larvae as small (∼3.5 kDa) and large (∼8.3 kDa) variants and have cloned the cDNA sequences encoding both. They have no homology to known sequences in current BLAST databases. However, these proteins and the newly characterized AFP from the Rhagium inquisitor beetle both contain stretches rich in alternating Thr and Ala residues. On the basis of these repeats, as well as the discontinuities between them, a detailed structural model is proposed for the 8.3 kDa variant. This 88-residue protein is organized into an extended parallel-stranded β-helix with seven strands connected by classic β-turns. The alternating β-strands form two β-sheets with a thin core composed of interdigitating Ala and Ser residues, similar to the thin hydrophobic core proposed for some silks. The putative ice-binding face of the protein has a 4 × 5 regular array of Thr residues and is remarkably flat. In this regard, it resembles the nonhomologous Thr-rich AFPs from other moths and some beetles, which contain two longer rows of Thr in contrast to the five shorter rows in the inchworm protein. Like that of some other hyperactive AFPs, the spacing between these ice-binding Thr residues is a close match to the spacing of oxygen atoms on several planes of ice.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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".