Inhibition of Glycosyltransferase Activities as the Basis for Drug Development
Bibliographic record
Abstract
Glycosyltransferases are involved in the biosynthesis of protein-bound glycan chains that have multiple and important biological functions in all species. In this protocol, we describe methods to assess the inhibition of glycosyltransferase activities. The kinetic mechanisms of the enzymes, information from structural studies and preliminary inhibition studies can aid in designing appropriate inhibitors. The inhibition of beta4-Gal-transferase can be studied with GlcNAc derivatives that act as alternative acceptor substrate analogs and are expected to dock in the acceptor binding site of the enzyme. The inhibition of core 2 beta6-GlcNAc-transferase can be studied with compounds that may compete with binding of the acceptor or glycosyl-donor substrate. Another example is the use of a class of amino acid specific reagents as inhibitors that help to obtain information about amino acid residues at or near the active site of dolichol-phosphate-mannose synthase or those involved in the enzyme mechanism. These inhibitors can be useful for studies of glycan functions, and have potential as therapeutic drugs for a number of diseases involving glycosylation.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.005 |
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".