Purification and Characterization of Recombinant Activin Receptor Type IIB Kinase Expressed In Sf9 Cells
Bibliographic record
Abstract
Act ivin R eceptor Type IIB (ActRIIB) is a member of the transforming growth factor‐β1 (TGF‐β1) superfamily that has been shown to bind to myostatin/GDF‐8. Upon binding to GDF‐8, ActRIIB receptor recruits the type I receptor ALK4/5, phosphorylates ALK4/5 GS‐rich region and leads to phosphorylation and activation of Smad proteins, which then translocate to the nucleus to regulate gene expression. In mice with dominant negative ActRIIB, they exhibited increase muscle mass and muscle tissue but no phenotypcial abnormality. Disruption of binding between GDF‐8 and ActRIIB receptor by administration of GDF‐8 neutralizing antibody in mice also showed an increase of muscle tissue and muscle strength. These results validate ActRIIB receptor as a good target for small molecule inhibitors for treatment of diseases such as muscular dystrophy. To aide in our structure‐based drug design, we have successfully cloned and expressed numerous constructs of ActRIIB kinase domain using the baculovirus expression system. We were able to achieve ≥95% purity of ActRIIB kinase and biochemical characterizations such as activity and phosphorylation state were used to evaluate the different constructs.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.003 |
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".