Glycosidase Inhibition by Multivalent Presentation of Heparan Sulfate Saccharides on Bottlebrush Polymers
Bibliographic record
Abstract
We report herein the first-time exploration of the attachment of well-defined saccharide units onto a synthetic polymer backbone for the inhibition of a glycosidase. More specifically, glycopolymers endowed with heparan sulfate (HS) disaccharides were established to inhibit the glycosidase, heparanase, with an IC 50 value in the low nanomolar range (1.05 ± 0.02 nm), a thousand-fold amplification over its monovalent counterpart. The monomeric moieties of these glycopolymers were designed in silico to manipulate the well-established glycotope of heparanase into an inhitope. Studies concluded that (1) the glycopolymers are hydrolytic stable toward heparanase, (2) longer polymer length provides greater inhibition, and (3) increased local saccharide density (monoantennary vs diantennary) is negligible due to hindered active site of heparanase. Furthermore, HS oligosaccharide and polysaccharide controls illustrate the enhanced potency of a multivalent scaffold. Overall, the results on these studies of the multivalent presentation of saccharides on bottlebrush polymers serve as the platform for the design of potent glycosidase inhibitors and have potential to be applied to other HS-degrading proteins.
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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) | 0.000 | 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) | 0.001 | 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 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".