Elucidating the Role of Thermal Flexibility of Hydrogels in Protein Refolding
Bibliographic record
Abstract
Synthetic chaperones are stimuli-responsive materials that facilitate the refolding of denatured proteins in their native form and release refolded proteins in solution in the presence of external stimuli. Thermoresponsive hydrogels are a class of synthetic chaperones that require heat as an external stimulus to refold the denatured proteins into their biologically active conformations; however, the mechanism by which these hydrogels participate in protein refolding mechanism remains unclear. In this study, we explore the role of physical and structural changes in the hydrogel matrix that may participate in protein refolding efficacies of thermally responsive poly(vitamin B5 analogous methacrylamide) poly(B5AMA) hydrogels. Poly(B5AMA) hydrogels of different net charges, hydrophobicity, and cross-linking densities are synthesized by radical polymerization method and are evaluated for the restoration of enzymatic activity of thermally denatured enzymes (lysozyme and carbonic anhydrase) as a function of temperature and time and for the presence of residual water in the hydrogel architecture. The hydrogels with promising protein renaturation efficacies are further evaluated for their interactions with denatured proteins, and the role of thermal flexibility of the hydrogel matrix in protein refolding capabilities is elucidated.
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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 | 0.001 |
| 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".