The Importance of Hydration for Inhibiting Ice Recrystallization with C-Linked Antifreeze Glycoproteins
Bibliographic record
Abstract
The role of hydration in modulating solution conformation, molecular recognition, and biological activity of oligosaccharides, proteins, and nucleotides is widely recognized but is often neglected when investigating many biological processes such as the mechanism by which biological antifreezes inhibit the growth of ice. We have investigated the relationship between carbohydrate configuration and recrystallization-inhibition (RI) activity in functional C-linked antifreeze glycoprotein (AFGP) analogues using a series of analogues 1 − 4 . While analogues 1 − 4 did not show any thermal hysteresis (TH) activity, 1 did exhibit weak dynamic ice shaping indicating that this compound had the ability to interact with the ice lattice. The d -mannose and d -talose analogues ( 3 and 4, respectively) exhibited very weak RI activity with mean largest grain size values similar to phosphate buffered saline, the negative control. d -Glucose analogue 2 exhibited moderate RI activity while d -galactose analogue 1 was the most potent analogue with RI activity comparable to the native AFGP 8. These results suggest that the configuration of the carbohydrate moiety in C-linked AFGP analogues is extremely important and modulates recrystallization-inhibition activity. It seems likely that differences in hydration for each C-linked pyranose alter the compatibility of the carbohydrate moiety with the three-dimensional hydrogen-bonded network of supercooled bulk water. Consequently, the energy associated with transferring a water molecule to the ice lattice changes and can result in inhibition of ice growth. These results emphasize the importance of continued studies to further elucidate the role of hydration in antifreeze activity.
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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) | 0.000 | 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".