A hybrid, broad-spectrum inhibitor of Colorado potato beetle aspartate and cysteine digestive proteinases
Bibliographic record
Abstract
Protein engineering approaches are currently being devised to improve the inhibitory properties of plant proteinase inhibitors against digestive proteinases of herbivorous insects. Here we engineered a potent hybrid inhibitor of aspartate and cysteine digestive proteinases found in the Colorado potato beetle, Leptinotarsa decemlineata Say. Three cathepsin D inhibitors (CDIs) from stressed potato and tomato were first compared in their potency to inhibit digestive cathepsin D-like activity of the insect. After showing the high inhibitory potency of tomato CDI (M(r) approximately 21 kDa), an approximately 33-kDa hybrid inhibitor was generated by fusing this inhibitor to the N terminus of corn cystatin II (CCII), a potent inhibitor of cysteine proteinases. Inhibitory assays with recombinant forms of CDI, CCII, and CDI-CCII expressed in Escherichia coli showed the CDI-CCII fusion to exhibit a dual inhibitory effect against cystatin-sensitive and cathepsin D-like enzymes of the potato beetle, resulting in detrimental effects against 3rd-instar larvae fed the hybrid inhibitor. The inhibitory potency of CDI and CCII was not altered after their fusion, as suggested by IC(50) values for the interaction of CDI-CCII with target proteinases similar to those measured for each inhibitor. These observations suggest the potential of plant CDIs and cystatins as functional inhibitory modules for the design of effective broad-spectrum, hybrid inhibitors of herbivorous insect cysteine and aspartate digestive proteinases.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 source (direct Gemma or distilled Codex), 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".