Interactions between Nebulin-like Motifs and Thin Filament Regulatory Proteins
Bibliographic record
Abstract
Nebulin (600-900 kDa) and nebulette (107-109 kDa) are two homologous thin filament-associated proteins in skeletal and cardiac muscles, respectively. Both proteins are capped with a unique region at the amino terminus as well as a serine-rich linker domain and SH3 domains at the COOH terminus. Their significant size difference is attributed to the length of the central region wherein both proteins are primarily composed of approximately 35 amino acid repeats termed nebulin-like repeats or motifs. These motifs are marked by a conserved SXXXY sequence and high affinity binding to F-actin. To further characterize the effects that nebulin-like proteins may have on the striated muscle thin filament, we have cloned, expressed, and purified a five-motif chicken nebulette fragment and tested its interaction with the thin filament regulatory proteins. Both tropomyosin and troponin T individually bound the nebulette fragment, although the affinity of this interaction was significantly increased when tropomyosin-troponin T was tested as a binary complex. The addition of troponin I to the tropomyosin-troponin T complex decreased the binding to the nebulette fragment, indicating an involvement of the conserved T2 region of troponin T in this interaction. F-actin cosedimentation demonstrated that the nebulette fragment was able to significantly increase the affinity of the tropomyosin-troponin assembly for F-actin. The relationships provide a means for nebulin-like motifs to participate in the allosteric regulation of striated muscle contraction.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".