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K. Carillo

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Open access Aug 2026

Benchmarking Deep Learning Predictions of Mutation-Induced Fold Switching

A systematic NMR-characterized dataset of mutants of the GA/GB model fold-switching system is presented and it is found that this benchmark revealed variable and position-dependent performance across methods, with certain AlphaFold2-based algorithms able to predict mutant effects at individual sites, indicating some understanding of physical effects of residue substitutions.

Nathaniel R. Felbinger, K. Carillo, Yihong Chen et al. · 0 citations