Structural and thermodynamical properties of early human amylin oligomers using replica exchange molecular dynamics: mutation effect of three key residues F15, H18 and F23
Bibliographic record
Abstract
Human islet amyloid polypeptide (hIAPP) is a 37-residue polypeptide, considered to be the main component of the pancreatic islet amyloid associated with type 2 diabetes and is one of the most amyloidogenic polypeptides known. Although the structure of hIAPP fibrils has already been obtained, structures of early oligomers and the mechanism of β-sheet formation remain poorly understood. Herein, we characterize the atomic structure and the thermodynamics of the 14-37 residue fragment of hIAPP wild-type and mutated dimers and trimers. More precisely, three key residues, F15, H18 and F23, thought to affect the aggregation process, are the focus of this numerical study using replica exchange molecular dynamics coupled with the OPEP coarse-grained protein force field. Our simulations show that the oligomerization process takes place through the formation of anti-parallel β-sheets most probably between C-terminal regions. Two main characteristics are associated with the onset of the fibrillation process. First, the sequence matching between the central (20-29) and C-terminal (30-37) regions, at intra and inter-molecular levels, helps in stabilizing the secondary structure and facilitates intermolecular interactions. Second, hydrophobic residues I26 and L27 are likely to promote the capture of further oligomeric structures and thus facilitate fibril elongation. Histidine mutation should have a more pronounced effect in the N-terminal region while phenylalanine mutations do not seem to prevent amyloid formation since central/C-terminal interactions are conserved through other contacts.
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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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".