Recent Trends in Glycodendrimer Syntheses and Applications
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Carbohydrate protein interactions are at the front of several biological interactions spanning from cell growth and differentiation, cell signaling, apoptosis, cancer, and microbial infections. Classical medicinal glycochemistry has so far concentrated on designing glycosyl transferase and glycohydrolase inhibitors for which only handful candidates have emerged. Added to the complexity of drug resistances, drugs in development have rapidly witnessed this limitation as well. New approaches are therefore highly encouraged. Amongst these, blocking pathogen adhesions to host tissues as an early preventive mechanism is a foreseeable potentiality. It has the clear advantage that the pathogens are unlikely to mutate their anchoring motifs without upsetting their own binding to host tissues. An added dilemma is that these binding interactions are usually too weak to provide suitable drug candidates. As a consequence, the community has successfully come up with multivalent glycoconjugates having greatly enhanced avidity. An alternative strategy in which both monovalent ligands as well as the multivalent scaffolds undergoing QSAR improvement is thus suggested. This review will highlight recent trends toward the design of multivalent glycodendrimers and their biological applications.
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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) | 0.001 | 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 | 0.001 |
| 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 it