G-Quadruplex binding optimization by gold(<scp>iii</scp>) insertion into the center of a porphyrin
Bibliographic record
Abstract
Porphyrins represent a valuable class of ligands for G-quadruplex nucleic acids. Herein, we evaluate the binding of cationic porphyrins metallated with gold(iii) to G-quadruplex DNA and we compare it with other porphyrin derivatives. The G-quadruplex stabilization capacity and the selectivity of the various porphyrins were evaluated by biophysical and biochemical assays. The porphyrins were also tested as inhibitors of telomerase. It clearly appeared that the insertion of gold(iii) ion in the center of the porphyrin increases the binding affinity of the porphyrin for the G-quadruplex target. Together with modelling studies, it is possible to propose that the insertion of the square planar gold(iii) ion adds an extra positive charge on the complex and decreases the electron density in the porphyrin aromatic macrocycle, both properties being in favour of stronger electrostatic and π-staking interactions.
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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".