Tanshinone derivatives: a patent review (January 2006 – September 2012)
Bibliographic record
Abstract
INTRODUCTION: Tanshinone IIA (TSIIA), cryptotanshinone and tanshinone I are major bioactive constituents of Danshen, a Chinese herbal medicine. Sodium tanshinone IIA sulfonate (STS) is a water-soluble derivative of TSIIA and it is currently used for treating cardiovascular diseases in China. AREAS COVERED: The article presents a review of the anti-atherosclerosis, cardioprotective effects, neuroprotection and anti-tumor activities of TSIIA and a review of patents on tanshinone derivatives from January 2006 to September 2012. EXPERT OPINION: Mechanistic studies have discovered that TSIIA modulates ion channels, kinases, hormone receptors, apoptosis proteins, growth factors, cytokines, microRNA, tumor suppressor and many other targets, revealing an intricate biological network modulated by TSIIA. Many patents have attempted to overcome the low water solubility of TSIIA and tanshinone I by attaching a polar substituent or by a prodrug strategy. However, biological activities of these tanshinone derivatives need to be further evaluated. Given the extensive in vitro and in vivo biological activities of TSIIA, this compound is a promising candidate to be further developed as a novel therapeutics for treating atherosclerosis, cardiovascular diseases, neurodegenerative diseases and cancer.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.005 |
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".