Synthesis of Polyester Dendritic Scaffolds for Biomedical Applications
Bibliographic record
Abstract
Using a well‐defined poly(2,2‐bis(hydroxymethyl)propanoic acid) dendrimer scaffold, a series of G1 to G3 dendrons is functionalized at the periphery with alkynes to enable “Click” functionalization via the copper‐catalyzed alkyne–azide cycloaddition (CuAAC). The resulting dendrons are further functionalized at the core with a dipicolylamine (DPA) moiety to enable radiolabeling with 99m Tc for molecular imaging applications. Efficient CuAAC coupling is achieved using an azide‐functionalized triethylene glycol monomethyl ether (TEG‐N 3 ). Removal of copper from the DPA ligand is successfully performed on G1 and G2 dendrimers prior to radiolabeling with 99m Tc. Radiolabeling of the G3 dendrimer is accomplished via transmetallation of the [CuDPA] 2+ ligand with 99m Tc, further demonstrating the feasibility of the synthetic strategies in the preparation of dendritic imaging agents. Subsequent attachment of an acyloxymethyl ketone (AOMK) derivative for targeting of cathepsin B is also explored. Despite demonstrating the ability to ligate multiple AOMK ligands, the AOMK–dendrimer conjugates are not able to bind to cathepsin B, which may be attributed to steric hindrance at the dendrimer periphery. image
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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) | 0.003 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".