AI FOR BIOLOGY

Protein & pathway design, in the browser

Log in and run folding, inverse folding, nanobody backbones, FBA, and kcat jobs — without standing up servers or babysitting a terminal.

Designed protein ribbon structure

TARGETS WE HAVE RUN

Integration of AI design and SimCell validation

We designed nanobodies to CA9, ABP, and CEA, then validated them at the cellular level — not a slide of logos.

CA9 Carbonic anhydrase IX

Hypoxia enzyme on solid tumors.

ABP A. baumannii Abp2D

Receptor-binding domain on drug-resistant Acinetobacter baumannii.

CEA Carcinoembryonic antigen

Tumor marker on colorectal and other epithelial cancers.

ONE WORKBENCH

One door for the stack

Eighteen tools, two generation cores, four folding engines, and a KEGG / BiGG library — same login, quota, and Data Room from backbone to flux.

18standalone tools in one login
2 + 4 2 generation cores and 4 folding engines
400GB of HBM in the live queue
108genome-scale models for FBA
19kKEGG compounds in Pathway Index

What you can run today

From antigen structure to candidate backbones; from a compound name to flux hypotheses.

THE POINT

Less environment wrangling. More judgment.

Good design still depends on biological intuition, wet-lab work, and careful interpretation. We put our compute workflows behind a clean interface, cut the repetitive labor, and raise your chance of success.

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