Unveiling hidden intermediate states in protein folding with AI-based conditional transition clustering

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Proceedings of the National Academy of Sciences, Volume 123, Number 10, March 2026.
ImportanceCurrent methods for analyzing protein folding, such as Markov state models, are limited by a “state-centric” paradigm that imposes biased assumptions on state definitions and kinetics prior to analysis. We present the conditional transition…

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