An internally quenched peptide as a new model substrate for rhomboid intramembrane proteases
Bibliographic record
Abstract
Rhomboids are ubiquitous intramembrane serine proteases that cleave transmembrane substrates. Their functions include growth factor signaling, mitochondrial homeostasis, and parasite invasion. A recent study revealed that the Escherichia coli rhomboid protease EcGlpG is essential for its extraintestinal pathogenic colonization within the gut. Crystal structures of EcGlpG and the Haemophilus influenzae rhomboid protease HiGlpG have deciphered an active site that is buried within the lipid bilayer but exposed to the aqueous environment via a cavity at the periplasmic face. A lack of physiological transmembrane substrates has hampered progression for understanding their catalytic mechanism and screening inhibitor libraries. To identify a soluble substrate for use in the study of rhomboid proteases, an array of internally quenched peptides were assayed with HiGlpG, EcGlpG and PsAarA from Providencia stuartti. One substrate was identified that was cleaved by all three rhomboid proteases, with HiGlpG having the highest cleavage efficiency. Mass spectrometry analysis determined that all enzymes hydrolyze this substrate between norvaline and tryptophan. Kinetic analysis in both detergent and bicellular systems demonstrated that this substrate can be cleaved in solution and in the lipid environment. The substrate was subsequently used to screen a panel of benzoxazin-4-one inhibitors to validate its use in inhibitor discovery.
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 | 0.001 |
| 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 | 0.001 | 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".