Metal‐based phosphorus dendrimers as novel nanotherapeutic strategies to tackle cancers: A concise overview
Bibliographic record
Abstract
Several metal-based phosphorus dendrimers were prepared. The first series developed by us was the Cu(II) series. In this series, the most potent is the third generation-Cu(II) showing original mechanism of action with activation of the pro-apoptotic Bax protein. To our knowledge, it is the first example of nanoparticles displaying Bax protein activation and then cell death through apoptosis process. Interestingly, this dendritic-Cu(II) complex showed synergistic effect with doxorubicin. Based on these interesting anti-proliferative activities, we developed Au(III)-conjugated phosphorus dendrimers. The most potent is the third generation-Au(III) dendrimer which represents also a new and promising first-in-class anti-proliferative agent against both solid and liquid tumor cell lines. Then, in order to analyze the influence of the metal moiety distribution of Cu(II) and Au(III) on the surface of dendrimers, mix Cu(II)-Au(III)-conjugated phosphorus dendrimers were also prepared and tested as anti-proliferative agents. This article is categorized under: Therapeutic Approaches and Drug Discovery > Nanomedicine for Oncologic Disease Nanotechnology Approaches to Biology > Nanoscale Systems in Biology.
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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 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".