Surface Denaturation and Amyloid Fibril Formation of Insulin at Model Lipid−Water Interfaces
Bibliographic record
Abstract
We consider the effects that different lipid surfaces have upon the denaturation and subsequent formation of amyloid fibrils of bovine insulin. The adsorption and unfolding kinetics of insulin being adsorbed onto the different lipid surfaces under denaturing conditions are studied using FTIR ATR spectroscopy and are compared to the bulk solution behavior of the protein. Atomic force microscopy studies are also performed to compare the fibrils growing on the different surfaces. This study shows that both the adsorption and unfolding kinetics of insulin can be described by a sum of exponential processes and that different surfaces behave differently, with respect both to one another and to the bulk protein solution. The proteins adsorbed onto the surfaces are observed to have faster unfolding kinetics than those in the bulk, and the fibril-like structures formed at the surfaces are shown to be different in a number of ways from those found in bulk solution. The beta-sheet content and growth kinetics of the adsorbed proteins also differ from those of the bulk system. An attempt is made to describe the observed behavior in terms of simple physical arguments involving adsorption, unfolding, and aggregation of the proteins.
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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".