Bespoke Activity-Based Probes Reveal that the <i>Pseudomonas aeruginosa</i> Endoglycosidase, PslG, Is an Endo-β-glucanase
Bibliographic record
Abstract
High Resolution Image Download MS PowerPoint Slide During infection, the human opportunistic pathogen Pseudomonas aeruginosa forms protective biofilms, whose matrix consists of proteins, nucleic acids, and polysaccharides such as alginate, Psl, and Pel. Psl, a polymeric pentasaccharide composed of mannose, rhamnose, and glucose, is produced during the early stages of biofilm formation, serving as a protective barrier against antibiotics and the immune system. The Psl biosynthesis gene cluster, besides encoding various glycosyltransferases, also includes an endoglycosidase, PslG. Here, we show, by activity-based protein profiling, structural studies on enzyme–inhibitor complexes, and defined substrate processing, that PslG is not, as previously suggested, an endo-β-mannosidase but instead a retaining endo-β-glucosidase. This insight allows the design of both competitive and covalent PslG inhibitors, as we show for repeating pentasaccharide mimetics featuring either a reducing end deoxynojirimycin or cyclophellitol moiety. This work provides valuable tools to deepen the understanding of Psl biosynthesis, its function in biofilm formation, and its contribution to antibiotic resistance. We demonstrate the enzyme’s actual endo−β–glucosidase activity, a means to monitor PslG activity in P. aeruginosa biofilms, and a blueprint for inhibitor design.
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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) | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".