Unfolded annealing molecular dynamics conformers for wild-type and disease-associated variants of alpha-synuclein show no propensity for beta-sheetformation
Bibliographic record
Abstract
Aggregation of alpha-synuclein leads to the formation of Lewy bodies in the brains of patients affected by Parkinson's disease (PD). Native human alpha-synuclein is unfolded in solution but assumes a partial alpha-helical conformation upon transient binding to lipid membranes. Annealing Molecular Dynamics (AMD) was used to generate a diverse set of unfolded conformers of free monomeric wild-type alpha-synuclein and PD-associated mutants A30P and A53T. The AMD conformers were compared in terms of secondary structure, hydrogen bond network, solvent-accessible surface per residue, and molecular volume. The objective of these simulations was to identify structural properties near mutation sites and the non-amyloid component (NAC) region that differ between wild- type and disease-associated variants and may be associated to aggregation of alpha- synuclein. Based on experimental evidence, a hypothesis exists that aggregation involves the formation of intermolecular beta sheets. According to our results, disease-associated mutants of alpha-synuclein are no more propense to contain extended beta regions than wild-type alpha-synuclein. Moreover, extended beta structures (necessary for beta sheet formation) were not found at or around positions 30 and 53, or the NAC region in any unfolded conformer of wild-type, A30P or A53T alpha-synuclein, under the conditions of the simulations. These results do not support the hypothesis that the mutant's higher propensity to aggregation results solely from changes in amino acid sequence leading to changes in secondary structure folding propensity.
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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 | 0.000 |
| 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".