Escalate details plan for binder-based combinatorial proteomics to feed AI biology models
PatrickKidger · x · 2026-10-23
Escalante (AI+bio) published "Endless proteoforms most beautiful" by Nick Boyd, Akshay Tambe, and April Schleck, arguing their Imprint assay — already used to measure protein-protein interaction kinetics at scale — plus computationally designed binders could unlock scalable, accurate proteomics.
- Unknown proteoforms would be identified via recorded interactions with multiple designed binders, using combinatorial encoding so no unique specific binder is needed per proteoform.
- The approach could identify protein complexes, post-translational modifications, and isoforms.
- Many component pieces are demonstrated, but integration is a substantial project; success would yield a generic, high-throughput tool for detailed readouts of biological systems.
- Long-term thesis: this is the right type of data to let AI models discover and model novel biology.
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