Temporin-CDYb cancer-fighting peptide
An experimental peptide studied in the lab for its ability to attack cancer cells.
A researcher, an agent, or an algorithm wrote down the sequence and picked a target to hit.
An AI model like OpenFold3 or AlphaFold built a 3D structure and scored how well it fits the binding site.
A second contributor repeated the computation on their own hardware and the scores matched.
A chemistry service or a researcher ordered the sequence, it was manufactured, and mass spectrometry confirmed the right molecule was produced.
A binding or activity measurement confirmed that it actually does what the computer predicted — or didn't.
Research directions for this peptide, selected from the current sources — hypotheses you can explore and model. None of it is proven yet; tap any one to see the full thinking.
Is the whole protein doing the work, or just one small piece of it?
If only the 15-amino-acid tail fragment is the real active unit, researchers could synthesize and test just that piece instead of the full 60-unit protein, making drug development faster and cheaper. Getting this wrong early wastes years of experiments on the wrong molecule.
Can something kill cancer cells without also destroying healthy blood cells?
Many cancer-killing peptides fail because they also burst red blood cells, making them too toxic to use. If this peptide's structure gives it a favorable safety profile, it could potentially advance toward animal studies without hitting that common wall.
Could one molecule be useful against both cancer and untreatable bacterial infections?
MRSA kills tens of thousands of people yearly and outruns most antibiotics. If this peptide works against MRSA at doses below what it takes to kill cancer cells, it could be worth developing for two serious problems at once, which would strengthen the case for investment.
How does the frog produce a toxic peptide without poisoning itself?
Understanding the natural on/off mechanism could help scientists manufacture this peptide safely in the lab without it killing the production cells. It might also point toward ways to control when and where the peptide activates in a therapeutic context.
Does this thing work like a key fitting a lock, or more like a wrecking ball?
If the mechanism is physical membrane rupture rather than binding a specific receptor, cancer cells would have a much harder time evolving resistance to it. That matters because resistance is why most cancer drugs eventually stop working.
Should scientists try to make this peptide stronger, or would that backfire?
Counter-intuitively, the structural features that limit this peptide's potency against tumors may be the same ones that protect red blood cells from damage. If true, researchers should work around those features rather than remove them, which could save significant time and cost in analog development.
▸full evidence table1 metrics
| metric | value | tool |
|---|---|---|
| ranking score | 0.6392145752906799 | boltz-2 |
▸3-letter notation
▸recipeboltz-2 2.2.1
| parameter | value |
|---|---|
| model | boltz-2 2.2.1 |
| weights | — |
| hardware | vast_v100_32gb |
| mlx version | — |
| python | — |
| random seed | 1 |
| msa strategy | none_monomer |
| runtime | — |
| predicted by | — |
| predicted at | 2026-05-23 |
▸citationbibtex
@peptide{pep05196,
sequence = {MFTLKKSLLLLFFLGTINLSLCEEERNADEERRDDPEERAVEVEKRILPILSLIGGLLGK},
target = {anticancer},
author = {peptidemodel},
year = {2026},
status = {computed}
}