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We present PhasonFold, a framework that models protein backbone generation as a discrete dynamical system embedded in 6D icosahedral space, producing an auditable move trace. Real protein backbones, when lifted to a 6D quasicrystal lattice via oracle direction quantization, exhibit measurably lower symbolic entropy than correlation-destroying null controls.

Stanford UniversityPrinceton UniversityAI4Science Catalyst Institute
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