Show HN: Design proteins from one formula, zero training data – runs in browser

Category: other

Tags: protein-design, computational-biology, bioinformatics

Score: 7.7/10 (Innovation: 8, Technical: 8, Documentation: 3, Utility: 7)

This project presents a browser-based protein design and analysis tool using a novel analytical physics formula with no training data, offering 15 modules for tasks like mutation, stability, and PTM analysis. Its innovative combination of structural law-based predictions and interactive UI in a zero-install web app fills a gap for rapid protein engineering prototyping.

Target audience: computational biologists, biochemists, protein engineers

Repository: https://aidoctrine.github.io/uct-protein/

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