biohacking$bioLLM CA: TBA

peptide research index · robinhood chain

Peptide discovery is a language problem.

Amino acids are tokens. A sequence is a sentence. The body is the runtime.

the model reads biology, writes peptides.

SSOOOOOOOOOOOONNNNNNNNNNNNHHHHHHHHHHHHHHHH
oxytocin · 69 heavy atoms · real coordinates C43O12N12S2
100peptides indexed
79structures drawn
761papers ingested
20mass-verified
11candidates published

Robinhood Chain block · chain 4663 · CA TBA

Every entry is a real molecule

Drawn from PubChem's computed coordinates — the geometry chemistry software uses. The whole wall →

Scale

The index runs from two-residue dipeptides to insulin. Bars are heavy-atom counts, to scale.

Built to be checked

Real sources

79 PubChem records, 761 Europe PMC citations, 57 entries with registered trials, 6 experimental structures, 46 parent proteins.

Checked against itself

20 sequences are mass-verified — computed backbone mass agrees with PubChem to within 1.5 Da. Where they disagree, the site says so.

Honest about gaps

Unknown fields read not characterised. Retatrutide has no published primary structure, so its sequence is blank. That blank is why the rest is worth reading.

The lab, and why it touches a chain

The model reads the corpus and proposes sequences that are not in it. The method is written out in full — and every candidate is screened against the index and its parent proteins before it is published.

Each surviving sequence is published at the registry with a timestamp and a hash anyone can recompute. A defensive publication: put it in the public record instead of trying to own it.

Every candidate is a computational candidate. Not validated, not synthesised, not for human use. The lab is phase 1 of 3 and says so on its own page.