Synthetic glycopolypeptides: Synthesis and self-assembly of poly(γ-benzyl-L-glutamate)-glycosylated dendron hybrids
Bibliographic record
Abstract
© The Royal Society of Chemistry 2015. Nano-assemblies prepared from glycosylated macromolecules are promising systems for modulating or mimicking the interactions between natural carbohydrates and their receptors. In the current work, polyester dendrons bearing focal point alkynes and peripheral C-linked α-galactose moieties were synthesized and coupled to helical poly(γ-benzyl-l-glutamate) (PBLG) to afford synthetic linear-dendritic glycopolypeptides. Both the dendrimer generation and the length of the PBLG were varied to provide a small library of amphiphiles with hydrophilic mass fractions ranging from 0.07 to 0.54. The self-assembly of the copolymers in water using a solvent exchange method was optimized and studied in detail. While the linear-dendritic copolymers composed of lower generation dendrons tended to aggregate, a copolymer composed of a 4th generation galactose-functionalized dendron and PBLG with a degree of polymerization of 28 formed micellar nano-assemblies whose size could be tuned by varying the self-assembly process. Overall, this study provides new insights into the effects of polymer architecture on self-assembly properties, while at the same time introducing a new platform for the preparation of bioactive nanoparticles.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 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".