Biotinylated Polyacrylamide-Based Metal-Chelating Polymers and Their Influence on Antigen Recognition Following Conjugation to a Trastuzumab Fab Fragment
Bibliographic record
Abstract
We report the synthesis and characterization of metal-chelating polymers (MCPs) with a terminal biotin and a polyacrylamide backbone harboring multiple diethylenetriaminepentaacetic acid (DTPA) chelating sites. These polymers are conjugated to a streptavidin (SAv)-modified Fab fragment of trastuzumab (tmFab) and subsequently complexed with (111)In through DTPA. Trastuzumab has specific targeting ability toward human epidermal growth factor receptor-2 (HER2), which is overexpressed on some types of breast cancer cells and ovarian cancer cells. (111)In can generate Auger electrons which cause lethal DNA double strand breaks. The radioimmunoconjugates (RICs) were designed to target HER2 overexpressing cancer cells and carry multiple copies of (111)In to these cells. The mole maximum specific activities of these polymers were investigated by loading the polymers with (111)In at an increasing (111)In to polymer ratio. The polymers show 55-fold to 138-fold higher maximum specific activity than DTPA modified tmFab-SAv. Moreover, the HER2 immunoreactivities of these RICs were evaluated by measuring their specific binding ability toward HER2 overexpressing SKOV-3 ovarian cancer cells. The results demonstrate that although in the presence of polymer there is increased nonspecific binding, HER2 targeting ability was retained, ensuring the radionuclide delivery ability of these RICs.
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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 | 0.000 |
| 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 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".