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Biology may already contain quantum sensors we have not learned to recognize. Nebula is a discovery physics engine built to search for them. Today’s protein tools can identify sequence similarity and predict structure, but they do not answer the frontier question: which living scaffold could host a sensing mechanism, which physics makes it plausible, and what experiment would prove us wrong? Nebula turns a sensing objective into that decision. It searches public protein and structure databases, routes candidates through mechanism, family, cofactor, and structure gates, and connects biological evidence to electron transfer geometry, spin coupling, quantum dynamics, reaction kinetics, and optical transduction. It exposes assumptions rather than hiding them behind a score, then produces a public protein priority, controls, confounders, and a predeclared stop rule. One demonstration explores magnetic field sensing and surfaces Q8LPD9 with its FMN bound structure as a hypothesis to challenge. The larger result is a comprehensive workflow connecting multiple supported sensing objectives and readouts to evidence, bounded physics, falsification, collaborator handoff, and optional protein design. Nebula creates a discovery layer between quantum physics and living matter, opening paths toward cellular probes, wearable diagnostics, responsive biomaterials, and biocompatible quantum interfaces.

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