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I built Mechanome, a physics-first inference engine that recovers mechanical forces in cells from protein structure and microscopy. It predicts forces forward from a protein's structure and runs the same biophysics backward on microscopy to infer them. Applied to Influenza A viral entry via clathrin-mediated endocytosis, it finds that successful entry requires the simultaneous action of curvature-generating protein insertion and crowding along with actin forces, with force consolidating a shape curvature has already set. The prediction matches real super-resolution imaging across three cell lines, and holds genetically in influenza entry. This matters because force usually can't be read from microscopic images. Mechanome gives calibrated answers where the data support them, honest refusals where they don't. Mechanome when connected to a LLM can act as a hypothesis generation and validation tool, bringing us one step closer to agentic mechanobiology. Using mechanome in Claude Science I was able to generate an initial manuscript for unique insight into mechanobiology of endocytosis during viral entry.

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