The Effects of XIAP on Alzheimer's Disease
Bibliographic record
Abstract
Inhibitor of apoptosis proteins (IAPs) prevents programmed cell death by interfering with the activation of caspases that cleave cytoskeleton fibres. X‐chromosome‐linked inhibitor of apoptosis protein (XIAP) is believed to be the most potent natural apoptosis inhibitor in the IAP family, as it effectively suppresses both intrinsic and extrinsic pathways of apoptosis. XIAP is characterized by three Baculoviral IAP Repeat (BIR) domains, a ubiquitin‐associated (UBA) domain, and one Really Interesting New Gene (RING) domain. The BIR‐2 domain binds with caspases 3 and 7, whereas the BIR‐3 domain binds with caspase 9. XIAP is closely associated with several neurodegenerative disorders, including Alzheimer’s Disease (AD), which affects over 44 million individuals worldwide. AD is characterized by the formation of ß‐amyloid plaques and tau tangles, which obstruct nutrients from reaching the nerve cells and result in cell death. Caspases cleave tau proteins that consequently collapse into tangles. Since XIAP prevents the activation of caspases, a lower level of XIAP leads to the acceleration of nerve cell death and cognitive impairment. While XIAP is unable to arrest tangle formation, an increase of XIAP will lessen cognitive decline. Support or Funding Information The Ashbury MSOE Center for BioMolecular Modeling SMART Team used 3D modelling and printing technology to examine the effects of the XIAP BIR‐3 and BIR‐2 domains on the caspases that interact with the Alzheimer’s pathway.
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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) | 0.003 | 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".