01 — Stage
Early, and honest about it.
The product is in beta and available on request. The benchmark is not published yet, and nothing here claims the model is finished — what stands behind it is the thesis, the published work below, and the measurements it runs on.
We would rather this page understate where things stand than have to walk something back later. When there is a result, it will be on the site, with the baseline it was scored against.
02 — Publications
The measurements this approach is built on are already in print.
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Analytical Chemistry · 2026
Characterizing the Effects of Protein Glycosylation Perturbation on Phosphorylation Signaling
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Analytical Chemistry · 2026
Dose-Dependent Inhibition of Protein Glycosylation Reveals Crosstalk between Glycosylation and Phosphorylation in EGF Signaling Pathways
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bioRxiv · preprint, under review
Sialidase-Mediated Desialylation Regulating EGFR Phosphorylation and Signal Flux
Three perturbation classes — genetic, chemical dose, enzymatic — each read across glycosylation and phosphorylation on the same material. Raw data is deposited and public under the accessions listed.
03 — Get in touch
Worth an email if any of these describe you.
You build cell models
Virtual-cell, perturbation-response, or foundation models for biology, and you have wondered what the protein layer would add.
You run the instruments
Proteomics at scale, particularly modification-enriched workflows and designed perturbation series.
You think this is wrong
Genuinely welcome. The fastest way to improve the thesis is to hear the strongest argument against it.