Nickel and FLAG Pull-Down Results From HTT With Putative Interaction Partners
Bibliographic record
Abstract
Huntington’s disease (HD) is a progressive neurological disorder caused by a mutation in the huntingtin gene, which encodes the huntingtin protein. Last year, the first structure of this protein was published. With a global resolution of approximately 4 Angstroms, this was a fantastic leap forward in our understanding of this protein. This structure helped our knowledge of Huntingtin, but there is still much more to find out. The structure published by this group is the only representative of about 75% of the protein, the other 25% being too mobile to capture using many high-resolution mapping techniques. One such mobile area is Exon 1, the location of the triplet repeat expansion responsible for HD. This critical region of the protein requires more structural information to understand. To obtain higher resolution images of this region, we are looking for huntingtin interaction partners that bind this region. These interaction partners will hopefully stabilize the structure enough to image the area. Interaction partners will be verified by a Pull-Down assay. Utilizing the FLAG-Tag and His-Tag present on HuntingtinPolyQ54+HAP40(HTT) complex used in this assay, we will look to identify reliable interaction partners.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.004 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.033 |
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".