Crystal waters on the nine polyproline type II helical bundle springtail antifreeze protein from <i>Granisotoma rainieri</i> match the ice lattice
Bibliographic record
Abstract
A springtail (Collembola) identified as Granisotoma rainieri was collected from snow in Hokkaido, Japan, in late winter when nighttime temperatures were below zero. Extracts of these arthropods showed antifreeze activity by shaping ice crystals and stopping their growth. The glycine-rich proteins responsible for this freezing point depression were isolated by ice-affinity purification and had principal masses of ~ 6.9 and 9.6 kDa. We identified a transcript for a 9.6-kDa component and produced it as a His-tagged recombinant protein for structural analysis. Its crystal structure was solved to a resolution of 1.21 Å and revealed a polyproline type II helical bundle, similar to the six-helix Hypogastrura harveyi AFP, but with nine helices organized into two layers held together by an extensive network of hydrogen bonds. One of the layers is flat, regular, and hydrophobic and likely serves as the ice-binding side. Although this surface makes close protein-protein contacts with its symmetry mate in the crystal, it has bound chains of waters present that resemble those on the basal and primary prism planes of ice. Molecular dynamic simulations indicate most of these crystal waters would preferentially occupy these sites if exposed to bulk solvent in the absence of the symmetry mate. These prepositioned waters lend further support to the ice-binding mechanism in which AFPs organize ice-like waters on one surface to adsorb to ice. DATABASES: Structural data are available in the Protein Data Bank under the accession number 7JJV. Transcript data are available in GenBank under accession numbers MT780727, MT780728, MT780729, MT780730, MT780731 and MT985982.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".