Proteins and Carbs – The Balanced Diet of a Complex and Unusual Enzyme Family
Bibliographic record
Abstract
Many host‐adapted bacteria have the capability to colonize mucosal layers. To do so, these bacteria have often developed the capacity to breakdown the mucin component of the protective layers that cover epithelial cells. As mucins are glycoproteins that are up to 80% carbohydrate by mass the most common feature of bacterial mucin degrading systems is an arsenal of enzymes that breakdown carbohydrates. However, how such bacteria may target the protein backbone of mucins remains a poorly investigated question. We have identified mucin‐degrading proteins in Clostridium perfringens, Bacteroides thetaiotaomicron , and Pseudomonas aeruginosa , which are all host‐adapted a bacteria notable their ability to colonize the mucus rich environments of human and animal tissues. These proteins are zinc‐metalloproteases and thus cleave the peptide backbone. Remarkably, our structural and functional analyses of these enzymes reveal that O‐linked glycans accommodated in the zinc‐metalloprotease active site is a determinant of specificity, and this is dependent on the particular protease. This work provides the first detailed molecular insight into a large family of glycoproteases found in host‐adapted microbes and highlights the potential complexity of substrate specificity in glycoprotein specific proteases.
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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 | 0.000 | 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) | 0.000 | 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".