Exploring macrocyclization strategies to design novel octreotate-based radioconjugates
Bibliographic record
Abstract
Peptides derived from the cyclic tetradecapeptide somastostatin exhibit a strong affinity primarily towards the G-protein coupled somatostatin receptor subtype 2 (SSTR2), which is overexpressed in neuroendocrine tumors. These somatostatin analogs, such as octreotide (TOC) or octreotate (TATE), are typically cyclized through a disulfide bridge. To address the potential fragility of this linkage in vivo, four distinct stapling strategies were explored to develop novel TATE derivatives with improved stability. Each approach induced a different distance between the two sulfhydryl groups involved into the macrocyclization. Additionally, the stapling linkers were designed to present a third functional group required for the regioselective insertion of a metal chelate. Ultimately, six stapled octreotate derivatives (stTATE-01/06), possessing 3 to 6 chemical bonds between the two cysteine residues, were synthesized and radiolabeled with indium-111. Evaluation of their affinity to SSTR2, conducted through a competitive binding assay, aimed to identify the most effective stapling strategy. However, a significant loss of affinity was observed for all stapled peptides compared to the gold standard DOTA-TATE, confirming that these macrocyclization approaches were detrimental to the biological activity of the new SSTR2 ligands.
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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".