Irreversible Inhibition of BoNT/A Protease: Unique Warhead Reactivity and Function Contingent upon a Bifunctional Approach
Bibliographic record
Abstract
We describe a comprehensive screening campaign of warheads, linked to a hydroxamate chelating anchor, for the modification of Cys165 within the BoNT/A protease. Engaging thorough enzyme kinetics, we detail a remarkable proximity-driven covalent bond with an epoxide warhead, a weak electrophile; yet, one that possessed superior irreversible inhibition, and pharmacological properties, when compared to intrinsically higher reactive warheads. This directed, selective covalent bond was contingent upon the crucial hydroxamate-Zn2+ chelating interaction as exemplified by examining non-chelating compounds. We discuss previous approaches using non-target selective cysteine-reactive warheads to modify the BoNT/A protease of which none present any therapeutic potential – our bifunctional strategy allows the use of intrinsically less reactive warheads to intercept the cysteine, which will allow for less off-target modifications of such inhibitors. Moreover, we also broach that this bifunctional approach is not a one-off strategy that we believe can be broadly translated to other metalloproteases that possess non-catalytic, yet, nucleophilic residues within the enzymes catalytic sphere.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".