Physical Review Letters
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Quantitative and Predictive Folding Models from Limited Single-Molecule Data Using Simulation-Based Inference
Author(s): Lars Dingeldein, Aaron Lyons, Pilar Cossio, Michael T. Woodside, and Roberto Covino
A simulation-based inference framework combines physics-based modeling with deep learning to recover the Bayesian posterior of a biomolecular folding model directly from single-molecule force spectroscopy data. [Phys. Rev. Lett. 137, 088402] Published Wed Aug 19, 2026