H<sub>4</sub>octox: Versatile Bimodal Octadentate Acyclic Chelating Ligand for Medicinal Inorganic Chemistry
Bibliographic record
Abstract
H4octox, a versatile new octadentate acyclic chelating ligand, has been investigated as an alternative to the acyclic DTPA and the macrocyclic DOTA for trivalent metal ions useful in diagnostic medical imaging or therapeutic applications (Y3+, In3+, La3+, Gd3+, Lu3+). The synthesis of H4octox is straightforward in less steps and thus more economical than those of most previously reported chelators. Complex formation equilibria in the presence of Y3+, In3+, La3+, Gd3+, and Lu3+ revealed fast chelation and high metal-sequestering capacity. Quantitative labeling with 111In3+ was achieved within 15 min at room temperature at ligand concentrations as low as 10–7 M, exactly the properties required for the development of kit-based radiopharmaceuticals. In vitro serum stability studies and in vivo SPECT imaging confirmed excellent complex stability of [111In(octox)]−. Moreover, it is more lipophilic than most of the multidentate carboxylate- or picolinate-based chelators; it therefore shows more liver clearance and provides a complementary choice in the design of metal-based pharmaceuticals and in the tuning of their pharmacokinetic properties. Finally, H4octox showed a large fluorescence enhancement upon complexation with different metals, in particular, with Y3+ and Lu3+, which could be useful for non-radioactive fluorescent stability and cell studies as well as bimodal imaging. Excellent in vitro stability of [Y(octox)]− against transferrin and Fe3+ was confirmed employing this fluorescence.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 teacher head, 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".