Solving Promiscuous Protein Carbohydrate Recognition Domains with Multivalent Glycofullerenes
Why this work is in the frame
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Bibliographic record
Abstract
Studies on multivalent carbohydrate protein interactions critically depend on the nature of protein's binding sites, their number and also their relative three dimensional orientations. Although a wide range of neoglycoconjugates including glycodendrimers has been synthesized to address this issue, no systematic rules exist yet that can predict the optimal shapes, size, and number of required exposed carbohydrate ligands. This chapter will illustrate a few examples of bacterial and human lectins together with bacterial toxins having varied number of carbohydrate recognition domains that necessitated multivalent glycoconjugates. In particular, fullerenes, because of their particular physical properties, have been used to describe novel synthetic strategies and possible fit with concomitant lectins.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| 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 it