Enhancing the water solubility of MyoNovin - a novel skeletal muscle regenerator
Bibliographic record
Abstract
Satellite precursor cells are normally quiescent but once activated they support skeletal muscle growth and regeneration by proliferating and differentiating into myoblasts. When an animal suffers from a muscle injury, quiescent satellite precursor cells are activated by nitric oxide (NO). MyoNovin (1-(3,4-Bis-nitrooxy-butoxy)-2-methoxy-benzene), as a NO donor, was developed to provide nitric oxide directly to the skeletal muscle and has been shown to promote satellite cell activation. A potential drawback of the current MyoNovin molecule is its poor water solubility. The aim of this work was to enhance the water-solubility of MyoNovin in order to improve its ease of formulation and possibly enhance its biological activity. The structure of MyoNovin (MN1) was modified with three different functional groups - methanesulfonyl (MN2), benzoic acid (MN3) and acetamide (MN4). The three novel MyoNovin analogs were identified and shown to have similar biological activity as with MyoNovin. All three MyoNovin analogs were found to have better water solubility.#Based on these results, two of the MyoNovin analogs (MN2 and MN3) had much better biological activity with respect to satellite activation and much improved water solubility and may be the most promising candidates for future studies.
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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) | 0.001 | 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".