Production of Lovastatin and its Lipid-lowering and Anti-Cancer Effects
Bibliographic record
Abstract
Lovastatin is traditionally used to reduce the amount of cholesterol and lipid levels in many diseases, but its anti-cancer properties are now discovered. By regulating and modulating crucial signaling small G-proteins of cancer cell including Rho, Rac, and Ras, lovastatin can alter cancer cell division, migration, and induce cell death. Lovastatin has a similar structure to HMG-CoA and thus can competitively bind to HMG-CoA reductase (HMGR) and work as a hypolipidemic medicine. The anti-cancer effect of lovastatin had led to extensive research. It had been confirmed based on many in-vitro studies that lovastatin had obvious inhibitory effects on different kinds of cancer. In addition, lovastatin can increase therapeutic effect since it regulates the cell signaling pathway which induces cell cycle arrests. This article covers the application of lovastatin and cancer treatment. Lovastatin has shown promising anti-cancer properties in breast cancers, ovarian cancers and breast cancers, but more evidence is needed to determine its anti-cancer properties in-vivo and in humans.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".