Structural Analysis of Golgi α-Mannosidase II Inhibitors Identified from a Focused Glycosidase Inhibitor Screen
Bibliographic record
Abstract
The N-glycosylation pathway is a target for pharmaceutical intervention in a number of pathological conditions including cancer. Golgi alpha-mannosidase II (GMII) is the final glycoside hydrolase in the pathway and has been the target for a number of synthetic efforts aimed at providing more selective and effective inhibitors. Drosophila GMII (dGMII) has been extensively studied due to the ease of obtaining high resolution structural data, allowing the observation of substrate distortion upon binding and after formation of a trapped covalent reaction intermediate. However, attempts to find new inhibitor leads by high-throughput screening of large commercial libraries or through in silico docking were unsuccessful. In this paper we provide a kinetic and structural analysis of five inhibitors derived from a small glycosidase-focused library. Surprisingly, four of these were known inhibitors of beta-glucosidases. X-ray crystallographic analysis of the dGMII:inhibitor complexes highlights the ability of the zinc-containing GMII active site to deform compounds, even ones designed as conformationally restricted transition-state mimics of beta-glucosidases, into binding entities that have inhibitory activity. Although these deformed conformations do not appear to be on the expected conformational itinerary of the enzyme, and are thus not transition-state mimics of GMII, they allow positioning of the three vicinal hydroxyls of the bound gluco-inhibitors into similar locations to those found with mannose-containing substrates, underlining the importance of these hydrogen bonds for binding. Further, these studies show the utility of targeting the acid-base catalyst using appropriately positioned positively charged nitrogen atoms, as well as the challenges associated with aglycon substitutions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| 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) | 0.000 | 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 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".