Control of ligand-exchange processes and the oxidation state of the antimetastatic Ru(iii) complex NAMI-A by interactions with human serum albumin
Bibliographic record
Abstract
The behaviour of the antimetastatic Ru(III) complex imidazolium [trans-RuCl₄(1H-imidazole)(DMSO-S)] (NAMI-A) under physiological conditions and its interactions with human serum albumin (hsA) have been studied using electron paramagnetic resonance spectroscopy (EPR). In physiological buffer at pH 7.4, these experiments demonstrate that the DMSO ligand is replaced rapidly by water, and spectra from the subsequent formation of five other Ru(III) complexes show further aquation processes. Although EPR spectra from mono-nuclear Ru(III) complexes are visible after 24 h in buffer, a significant decrease in the overall signal intensity following the first aquation step is consistent with the formation of oxo-bridged Ru(III) oligomers. Incubation with hsA reveals very rapid binding to the protein via hydrophobic interactions. This is followed by coordination through ligand exchange with protein side chains, likely with histidine imidazoles and at least one other specific site. Similar behaviour is observed when the complex is incubated in human serum, indicating that hsA binding dominates speciation in vivo. The addition of ascorbic acid to NAMI-A in buffer leads to quantitative reduction, producing EPR-silent Ru(II) complexes. However, this process is prevented when the complex binds coordinatively to hsA. Together, these results demonstrate the key role that hsA plays in defining the species found in vivo following intravenous treatment with NAMI-A, through prevention of oligomerization and maintenance of the oxidation state, to give protein-bound mono-nuclear Ru(III) species.
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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) | 0.000 | 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".