Structure–function relationships in spruce budworm antifreeze protein revealed by isoform diversity
Bibliographic record
Abstract
The spruce budworm, Choristoneura fumiferana, produces antifreeze protein (AFP) to assist in the protection of the overwintering larval stage. AFPs are thought to lower the freezing point of the hemolymph, noncolligatively, by interaction with the surface of ice crystals. Previously, we had identified a cDNA encoding a 9-kDa AFP with 10-30 times the thermal hysteresis activity, on a molar basis, than that shown by fish AFPs. To identify important residues for ice interaction and to investigate the basis for the hyperactivity of the insect AFPs, six new spruce budworm AFP cDNA isoforms were isolated and sequenced. They differ in amino-acid identity as much as 36% from the originally characterized AFP and can be divided into three classes according to the length of their 3' untranslated regions (UTRs). The new isoforms have at least five putative 'Thr-X-Thr' ice-binding motifs and three of the new isoforms encode larger, 12-kDa proteins. These appear to be a result of a 30 amino-acid insertion bearing two additional ice-binding motifs spaced 15 residues apart. Molecular modeling, based on the NMR structure of a short isoform, suggests that the insertion folds into two additional beta-helix loops with their Thr-X-Thr motifs in perfect alignment with the others. The first Thr of the motifs are often substituted by Val, Ile or Arg and a recombinantly expressed isoform with both Val and Arg substitutions, showed wild-type thermal hysteresis activity. The analysis of these AFP isoforms suggests therefore that specific substitutions at the first Thr in the ice binding motif can be tolerated, and have no discernible effect on activity, but the second Thr appears to be conserved. The second Thr is thus likely important for the dynamics of initial ice contact and interaction by these hyperactive antifreezes.
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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".