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COMPUTATIONAL BIOCHEMISTRY

The curse of dimensionality loses its power

An adaptive and computationally efficient machine-learning-based biasing technique for rare-event sampling is introduced, allowing an effective generation of high-dimensional free energy surfaces associated with complex processes, such as protein folding.

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Fig. 1: Illustration of the concept of a machine-learned adaptive bias for generating high-dimensional free-energy surfaces.

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Correspondence to Mark E. Tuckerman.

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Tuckerman, M.E. The curse of dimensionality loses its power. Nat Comput Sci 2, 6–7 (2022). https://doi.org/10.1038/s43588-021-00182-0

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