Tailored peptide nanomaterials for receptor targeted prostate cancer imaging
Bibliographic record
Abstract
the aqueous co-assembly of four cyclic D,L-alternating octapeptides. The inherent properties of these cyclic building blocks have been carefully selected to enhance their efficacy in imaging applications, through the addition of a cancer targeting peptide and a fluorescent dye. Comprehensive characterization using scanning electron microscopy (FESEM) and low-voltage transmission electron microscopy (LV-TEM) confirms the formation of nanotubes through co-assembly of the cyclic peptides. The resulting nanotubes show an average diameter of 28 nm. Circular dichroism (CD) spectroscopy validates the formation of stable beta-sheet hydrogen bonding structures at both 20 and 37 °C, ensuring their suitability for biomedical applications. Evaluation of PSMA-binding specificity of the resulting peptide nanotubes is assessed using confocal fluorescence microscopy demonstrating receptor-mediated uptake in prostate cancer cells. We anticipate this strategy will provide the basis for the utilization of co-assembled systems for advancing molecular imaging techniques in prostate cancer and other cancers.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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; both teacher heads agree on what is shown here.
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".