Design of heparin oligosaccharide based molecules for inhibition of Alzheimer amyloid beta (Aβ<sub>40</sub>) aggregation
Bibliographic record
Abstract
In this computational study, we have combined molecular docking and molecular dynamics (MD) simulation techniques to explore interactions of monomeric and aggregated forms of Alzheimer’s amyloid beta (Aβ40) with seven chemically distinct heparin derived glycoaminoglycans (GAGs) referred to as ADC, SDC, DC, V1, V2, V3, and V4. The docking procedure proposed two major binding sites, i.e., one present at the top of the fibril (site A), and the other located in the hairpin region (site B). Due to its position, site B offers an interesting target to design molecules with anti-aggregation properties. Our results predicted that out of seven GAGs, only three of them (ADC, SDC, and DC) bind to site B. The identification of these molecules can advance our efforts to develop therapeutic interventions for this deadly disease.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".