We build mathematical frameworks that describe how complex systems maintain stability. Our first product, Angelika Fold, applies Recursive Coherence Field Theory to protein stability prediction.
I'm Eric Marx, an independent researcher who has spent the last several years building RCFT — Recursive Coherence Field Theory — and a protein stability engine that runs on first principles instead of training data.
The calculator on this site is a live RCFT system. You can paste an amino acid sequence and see exactly how the engine walks through the GAS → LIQUID → SOLID phases, computes an Ω coherence score, and decides whether a protein is likely to be stably folded.
This started as a solo project on my own machines. It is now a working tool that I'm opening to the research community. I'm looking for collaborators and institutions who want to stress-test it, break it, extend it, and build real applications on top of it.
If that's you, use the contact form or reply to the automated email you receive after registering. I do my best to read every serious message.
We publish what we know and what we don't. Our benchmark shows a strong ranking signal but the classification threshold needs calibration. We say that upfront because trust is worth more than a press release.
RCFT is a mathematical framework, not a brand. The Ω metric either works or it doesn't, and the only way to find out is rigorous, reproducible testing against experimental data. We welcome scrutiny.
The core RCFT engine runs on private infrastructure. We don't expose proprietary algorithms in client-side code, and we don't collect user data. If you submit a protein sequence through our demo, it's processed and discarded.
We're not trying to replace AlphaFold or Rosetta. We're building something complementary — a stability coherence layer that could sit on top of existing structural prediction tools. If you're a lab with experimental stability data, we want to talk.
If you're a researcher with experimental protein stability data, a biotech company interested in licensing, or an investor who understands that real science takes time — we'd like to hear from you.
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PATENT PENDING — RCFT & ANGELIKA FOLD