Cystatin Activity–Based Protease Profiling to Select Protease Inhibitors Useful in Plant Protection
Bibliographic record
Abstract
Protease inhibitors of the cystatin protein superfamily show potential in plant protection for the control of herbivorous pests. Here, we describe a cystatin activity-based profiling procedure for the selection of potent cystatin candidates, using single functional variants of tomato cystatin SlCYS8 and digestive Cys proteases of the herbivore insect Colorado potato beetle as a case study. The procedure involves the capture of target Cys proteases with biotinylated versions of the cystatins, followed by the identification and quantitation of captured proteases by mass spectrometry. An example is given to illustrate usefulness of the approach as an alternative to current procedures for recombinant inhibitor selection based on in vitro assays with synthetic peptide substrates. A second example is given showing its usefulness as a tool to compare the affinity spectra of inhibitor variants toward different subsets of target protease complements.
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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 | 0.001 | 0.001 |
| 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".