Electron Paramagnetic Resonance as a Tool for Studying the Mechanisms of Paramagnetic Anticancer Metallodrugs
Bibliographic record
Abstract
Electron paramagnetic resonance spectroscopy (EPR) is an invaluable method for characterizing ligand environments and oxidation states of paramagnetic metal complexes. In this review we describe applications of this technique to understanding the often complicated mechanisms of metal‐based anticancer compounds. EPR has been instrumental in unravelling this in many instances, providing insight into conformations upon dissolution, aqueous ligand exchange, pH effects, and redox processes. EPR studies have also characterized the protein and DNA interactions of metal‐based chemotherapeutics, enabling discrimination of different binding modes. EPR can also be used to probe the behaviour of metallodrugs with whole cells, revealing interactions with cellular components and redox stability. Together, these studies provide important information on aspects of anticancer activity and demonstrate the scope and potential of EPR to contribute to the ongoing development of metal‐based anticancer complexes.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".