Platinum Phenanthroimidazole Complexes as G‐Quadruplex DNA Selective Binders
Bibliographic record
Abstract
Complexes that bind and stabilize G-quadruplex DNA structures are of significant interest due to their potential to inhibit telomerase and halt tumor cell proliferation. We here report the synthesis of the first Pt(II) G-quadruplex selective molecules, containing pi-extended phenanthroimidazole ligands. Binding studies of these complexes with duplex and quadruplex d(T(4)G(4)T(4))(4) DNA were performed. Intercalation to duplex DNA was established through UV/Vis titration, CD spectroscopy, and thermal denaturation studies. Significantly stronger binding affinity of these phenanthroimidazole Pt(II) complexes to G-quadruplex DNA was observed by UV/Vis spectroscopy and competitive equilibrium dialysis studies. Observed binding constants to quadruplex DNA were nearly two orders of magnitude greater than for duplex DNA. Circular dichroism studies show that an increase in pi-surface leads to a significant increase in the thermal stability of the Pt(II)/quadruplex DNA complex. The match in the pi-surface of these phenanthroimidazole Pt(II) complexes with quadruplex DNA was further substantiated by molecular modeling studies. Numerous favorable pi-stacking interactions with the large aromatic surface of the intermolecular G-quadruplex, and unforeseen hydrogen bonds between the ancillary ethylenediamine ligands and the quadruplex phosphate backbone are predicted. Thus, both biological and computational studies suggest that coupling the square-planar geometry of Pt(II) with pi-extended ligands results in a simple and modular method to create effective G-quadruplex selective binders, which can be readily optimized for use in telomerase-based antitumor therapy.
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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) | 0.001 | 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".