Base-modified Donor Analogues Reveal Novel Dynamic Features of a Glycosyltransferase
Bibliographic record
Abstract
Glycosyltransferases (GTs) are enzymes that are involved, as Nature's "glycosylation reagents," in many fundamental biological processes including cell adhesion and blood group biosynthesis. Although of similar importance to that of other large enzyme families such as protein kinases and proteases, the undisputed potential of GTs for chemical biology and drug discovery has remained largely unrealized to date. This is due, at least in part, to a relative lack of GT inhibitors and tool compounds for structural, mechanistic, and cellular studies. In this study, we have used a novel class of GT donor analogues to obtain new structural and enzymological information for a representative blood group GT. These analogues interfere with the folding of an internal loop and the C terminus, which are essential for catalysis. Our experiments have led to the discovery of an entirely new active site folding mode for this enzyme family, which can be targeted in inhibitor development, similar to the DFG motif in protein kinases. Taken together, our results provide new insights into substrate binding, dynamics, and utilization in this important enzyme family, which can very likely be harnessed for the rational development of new GT inhibitors and probes. Background: Modified UDP-Gal donor substrates with 5-formylthienyl and 5-phenyl substituents on the uracil base exhibit differential inhibition patterns for glycosyltransferases. Results: Structural studies reveal a new enzyme loop folding mode for the 5-formylthienyl analogue. Conclusion: Differential inhibition is attributed to alternate enzyme conformational changes and interactions with the respective inhibitors. Significance: The conformational plasticity of glycosyltransferases can be exploited in designing novel inhibitors.
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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".