arXiv Machine Learning July 20, 2026 By Kaustav Mehta

Neural spectroscopy of AlphaFold2 reveals encoded protein conformational landscapes

Read the original on arXiv Machine Learning →

arXiv:2607. 16087v1 Announce Type: new Abstract: AlphaFold2's 93 million parameters, shaped by the evolutionary record of protein structure encoded in the Protein Data Bank and in sequence alignments, are conventionally treated only as machinery for converting sequence to structure.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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