A New Approach to Inhibit Prototypic Galectins
Bibliographic record
Abstract
Given the critical role of galectins in cancer and other diseases, considerable efforts have been deployed towards the development of carbohydrate-based inhibitors that limit the binding of galectins to glycosylated residues on cell surface receptors. However, despite decades of research, progress in this field has not met expectations. In this article, we discuss the rationale justifying the development of a new class of galectin-specific peptide inhibitors that disrupt the formation of a prototypic galectin and its protumorigenic functions. These dimer interfering peptides (DIPs) represent an interesting alternative—and possibly a complementary avenue—to neutralize galectin-mediated protumoral functions. If validated, the approach could broaden the classes of galectin inhibitors that can be readily generated against other prototypic galectins, and possibly all other galectin subtypes.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 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".