Substrate specificity determination of mouse implantation serine proteinase and human kallikrein-related peptidase 6 by phage display
Bibliographic record
Abstract
We constructed a random library of hexapeptides displayed on the surface of bacteriophage T7 to determine the substrate specificity of proteinases. The phage-displayed library was subjected to repeated rounds of biopanning with native implantation serine proteinase and recombinant human kallikrein-related peptidase 6 (KLK6) followed by selection and identification of putative substrates. For both enzymes, the results obtained demonstrate a preference for arginine and lysine at multiple positions in the recognition cleavage motif, confirming their previously reported trypsin-like substrate specificity. In the case of KLK6, there is also a pronounced presence of tryptophan within the cleaved peptide sequences, indicating its potential dual substrate specificity, acting as both a trypsin and chymotrypsin-like enzyme.
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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".