Specific Disruption of Transthyretin(105–115) Fibrilization Using “Stabilizing” Inhibitors of Transthyretin Amyloidogenesis
Bibliographic record
Abstract
Transthyretin (TTR) is a cerebrospinal fluid and serum protein that undergoes ordered aggregation (amyloidogenesis) in familial amyloidotic polyneuropathy (FAP) and senile systemic amyloidosis (SSA). It is now widely accepted that dissociation of the native TTR tetramer is a precondition for amyloidogenesis; thus, molecules that stabilize the tetramer have received much attention as potential TTR amyloidosis inhibitors. Many of these inhibitors bind to the thyroxine (T(4)) binding pocket and interact specifically with a section of the TTR sequence, corresponding to residues 105-115, that is implicated in amyloidogenic propensity. In this work, we study the effects of "stabilizing" inhibitors on ordered aggregation of TTR(105-115) peptide. We show that molecules known to bind full-length TTR at the T(4) site are potent, specific inhibitors of ordered aggregation, while molecules that do not interact with TTR exhibit milder, nonspecific disruption through a "hyperbundling" effect. Our results suggest that, in addition to annealing the native tetramer, "stabilizing" inhibitors may also directly disrupt amyloidogenic aggregation of TTR monomers through specific interactions with the exposed TTR(105-115) sequence.
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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".