Rapid Synthesis of Functionalized High-Generation Polyester Dendrimers via Strain-Promoted Alkyne–Azide Cycloaddition
Bibliographic record
Abstract
Preparation of structurally perfect high-generation dendrimer libraries with different peripheral groups is challenging as divergent synthesis introduces peripheral defects and convergent synthesis leads to low yields. Here, we prepare a third-generation polyester dendron based on the bisMPA monomer structure, having eight peripheral azide functionalities, as an “inner” dendron. We also prepare a series of low-generation “outer” dendrons (G2 and G3) with various peripheral groups, including aromatic, aliphatic, and polar structures, each having a single dibenzoazacyclooctyne (DIBAC) at the core. Efficient strain-promoted azide–alkyne cycloaddition (SPAAC) enables quantitative coupling between the outer and inner dendrons, producing high-generation (G5 and G6) dendrimers in a single coupling step. Characterization by NMR and mass spectrometry shows that the coupling products are structurally perfect. Using this strategy, we prepared a small dendrimer library that includes the first high-generation monodisperse peripherally PEGylated dendrimers as well as a structure bearing bulky protected amino acids at its periphery. This general strategy allows for rapid, efficient, and quantitative preparation of high-generation dendrimers with a variety of peripheral and core functional groups, starting from small, easily prepared fragments.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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) | 0.005 | 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".