Functional Characterization of Peptide-Based Anthrax Toxin Inhibitors
Bibliographic record
Abstract
We have identified an optimized peptide inhibitor that can be used to develop potent anthrax toxin therapeutics. Anthrax toxin, an essential virulence factor of Bacillus anthracis, elicits many of the symptoms associated with the disease, and is responsible for death. The toxin is composed of a cell-binding component, protective antigen, and two enzymatic components, edema factor and lethal factor. The three proteins are secreted individually by the bacterium and then assemble into functional complexes on the surface of mammalian cells. These complexes are endocytosed, and the enzymatic components are translocated into the cytosol, where they exert their activities. We screened a phage display library for peptides that can bind the heptameric cell-binding subunit of anthrax toxin, and identified a novel peptide that can block toxin assembly. We made a series of mutant peptides and attached these peptides to polymer backbones to assess their inhibitory activities in vitro. This series of truncated peptide mutants was used to identify a minimal peptide sequence, TYWWLD, that can be used to develop potent polyvalent inhibitors of anthrax toxin.
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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".