<sup>225</sup>Ac-H<sub>4</sub>py4pa for Targeted Alpha Therapy
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Bibliographic record
Abstract
Herein, we present the syntheses and characterization of a new undecadendate chelator, H4py4pa, and its bifunctional analog H4py4pa-phenyl-NCS, conjugated to the monoclonal antibody, Trastuzumab, which targets the HER2+ cancer. H4py4pa possesses excellent affinity for 225Ac (α, t1/2 = 9.92 d) for targeted alpha therapy (TAT), where quantitative radiolabeling yield was achieved at ambient temperature, pH = 7, in 30 min at 10–6 M chelator concentration, leading to a complex highly stable in mouse serum for at least 9 d. To investigate the chelation of H4py4pa with large metal ions, lanthanum (La3+), which is the largest nonradioactive metal of the lanthanide series, was adopted as a surrogate for 225Ac to enable a series of nonradioactive chemical studies. In line with the 1H NMR spectrum, the DFT (density functional theory)-calculated structure of the [La(py4pa)]− anion possessed a high degree of symmetry, and the La3+ ion was secured by two distinct pairs of picolinate arms. Furthermore, the [La(py4pa)]− complex also demonstrated a superb thermodynamic stability (log K[La(py4pa)]– ∼ 20.33, pLa = 21.0) compared to those of DOTA (log K[La(DOTA)]– ∼ 24.25, pLa = 19.2) or H2macropa (log K[La(macropa)]– = 14.99, pLa ∼ 8.5). Moreover, the functional versatility offered by the bifunctional py4pa precursor permits facile incorporation of various linkers for bioconjugation through direct nucleophilic substitution. In this work, a short phenyl-NCS linker was incorporated to tether H4py4pa to Trastuzumab. Radiolabeling studies, in vitro serum stability, and animal studies were performed in parallel with the DOTA-benzyl-Trastuzumab. Both displayed excellent in vivo stability and tumor specificity.
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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 | 0.000 |
| 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 it