Innovative <i>N</i>-Acridine Thiosemicarbazones and Their Zn(II) Complexes Transmetallate with Cu(II): Redox Activity and Suppression of Detrimental Oxy-Myoglobin Oxidation
Bibliographic record
Abstract
The coordination chemistry and electrochemistry of novel N -acridine thiosemicarbazones (NATs) were investigated along with their redox activity, antiproliferative efficacy, transmetalation, and dissociation properties. The ability of NAT Fe(III) complexes to inhibit detrimental oxy-myoglobin (oxy-Mb) oxidation was also examined. The NATs act as tridentate ligands with a 2:1 L/Zn(II) complex crystal structure, revealing a distorted octahedral geometry, where both ligands bind Zn(II) in a meridional conformation. The NAT Fe(III) complexes exhibited fully reversible one-electron Fe III/II couples with more positive potentials than the Fe(III) complexes of a related clinically trialed thiosemicarbazone (e.g., [Fe(DpC) 2 ] + ) due to the electron-donating capacity of acridine. Surprisingly, the NAT-Zn(II) complexes showed generally greater or similar antiproliferative activity than their ligands, Cu(II), or Fe(III) complexes. This may be explained by ( 1 ) formation of a highly lipophilic Zn(II) complex that acts as a chaperone to promote cellular uptake and ( 2 ) the capacity of the Zn(II) complex to dissociate or undergo transmetalation to the redox-active Cu(II) complex. Of the NAT-Fe(III) complexes, [Fe(AOBP) 2 ] + demonstrated a significant ( p < 0.0001) improvement in preventing oxy-Mb oxidation than the Fe(III) complex of the clinically trialed thiosemicarbazone, DpC. This article advances our understanding of NAT coordination chemistry, electrochemistry, and the intriguing biological activity of their complexes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".