Harnessing the functional diversity of plant cystatins to design inhibitor variants highly active against herbivorous arthropod digestive proteases
Bibliographic record
Abstract
Protein engineering approaches have been proposed to improve the inhibitory properties of plant cystatins against herbivorous arthropod digestive proteases, generally involving the site‐directed mutagenesis of functionally relevant amino acids or the selection of improved inhibitor variants by phage display approaches. Here, we propose a novel approach where the function‐related structural elements of a cystatin are substituted by the corresponding elements of an alternative cystatin. Inhibitory assays were first performed with 20 representative plant cystatins and model Cys proteases, including arthropod proteases, to appreciate the extent of functional variability among the plant cystatin family. The most, and less, potent of these cystatins were then used as ‘donors’ of structural elements to create hybrids of tomato cystatin SlCYS8 used as a model ‘recipient’ inhibitor. In brief, inhibitory activities against Cys proteases strongly differed from one plant cystatin to another, with K i (papain) values diverging by more than 30‐fold and inhibitory rates against arthropod proteases varying by up to 50‐fold depending on the enzymes assessed. In line with theoretical assumptions from docking models generated for different Cys protease–cystatin combinations, structural element substitutions had a strong impact on the activity of recipient cystatin SlCYS8, positive or negative depending on the basic inhibitory potency of the donor cystatin. Our data confirm the wide variety of cystatin inhibitory profiles among plant taxa. They also demonstrate the usefulness of these proteins as a pool of discrete structural elements for the design of cystatin variants with improved potency against herbivorous pest digestive Cys 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 | 0.001 | 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".