Quantifying Interactions Between G-Quadruplex DNA and Transition-Metal Complexes
Bibliographic record
Abstract
Telomerase inhibition through guanine quadruplex sequestration by small-molecule drugs is of great current interest as an anticancer strategy. G-quadruplexes (GQs) can be formed at the guanine-rich sequences found at the end of the telomere. They possess a large electron-rich pi-surface which is favorable for the binding of electron-poor small molecules. Small molecules binding to GQs can sequester the telomere ends and inhibit the enzyme telomerase, which is expressed in cancer cells and absent in normal somatic cells. Transition-metal complexes present a myriad of geometries and numerous ligand coordination environments and allow for modular syntheses for development of compound libraries to target GQs. We have demonstrated the size of the pi-surface, binding selectivity and affinity of phenanthroimidazole platinum (II) complexes [PtPIX(en)](2+)2PF (6) (-) (X = naphthyl, phenyl and en = ethylenediamine) and metallosupramolecular complexes [Pt(4,4'-bpy)(en)] (4) (8+) 8PF (6) (-) (where bpy = bipyridine) to GQs can be readily tuned and assayed through a number of biophysical techniques.
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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 | 0.001 |
| 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".