High Molecular Weight Polyglycerol-Based Multivalent Mannose Conjugates
Bibliographic record
Abstract
We report the synthesis and characterization of multivalent mannose conjugates based on high molecular weight hyperbranched polyglycerols (HPG). A range of glycoconjugates were synthesized from high molecular weight HPGs (up to 493 kDa) and varying mannose units (22-303 per HPG). Hemagglutination assays using fresh human red blood cells and concanavalin A (Con A) showed that HPG-mannose conjugates exhibited a large enhancement in the relative potency of conjugates (as high as 40000) along with a significant increment in relative activity per sugar (up to 255). The size of the HPG scaffold and the number of mannose residues per HPG were all shown to influence the enhancement of binding interactions with Con A. Isothermal titration calorimetry (ITC) experiments confirmed the enhanced binding affinity and showed that both molecular size and ligand density play important roles. The enhancement in Con A binding to the high molecular weight HPG-mannose conjugates is due to a combination of inter- and intramolecular mannose binding. A few fold increments in the binding constant were obtained over mannose upon covalent attachment to HPG. The binding enhancement is due to the highly favorable entropic contribution to the multiple interactions of Con A to mannose residues on HPG. The high molecular weight HPG-mannose conjugates showed positive cooperativity in binding to Con A. Although carbohydrate density has less of an effect on functional valency of the conjugate compared to the molecular size, it determines the binding affinity.
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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".