WikiSysop: Created page with "== Citation == Chen, Y., Li, F., Dong, H., Wang, X., Zhang, F., Hu, B. and Wan, X. 2026. 3DDF-VAE: Dual-frequency variational autoencoder with pose-consistency validation for rare cryo-EM conformation discovery. J. Structural Biology. (2026), 108311. == Abstract == Revealing the 3D conformational variability of biomolecules is crucial for understanding their function, while cryo-EM reconstruction of rare states remains difficult due to data imbalance and structural de..."

2026-04-09T12:52:45Z

Created page with "== Citation == Chen, Y., Li, F., Dong, H., Wang, X., Zhang, F., Hu, B. and Wan, X. 2026. 3DDF-VAE: Dual-frequency variational autoencoder with pose-consistency validation for rare cryo-EM conformation discovery. J. Structural Biology. (2026), 108311. == Abstract == Revealing the 3D conformational variability of biomolecules is crucial for understanding their function, while cryo-EM reconstruction of rare states remains difficult due to data imbalance and structural de..."

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== Citation ==

Chen, Y., Li, F., Dong, H., Wang, X., Zhang, F., Hu, B. and Wan, X. 2026. 3DDF-VAE: Dual-frequency variational autoencoder with pose-consistency validation for rare cryo-EM conformation discovery. J. Structural Biology. (2026), 108311.

== Abstract ==

Revealing the 3D conformational variability of biomolecules is crucial for understanding their function, while
cryo-EM reconstruction of rare states remains difficult due to data imbalance and structural detail loss in
existing generative models. We present a dual-stage pipeline consisting of a generative stage and a validation
stage. In the generative stage, we employ a 3D dual-frequency variational autoencoder (3DDF-VAE) that
separately models low- and high-frequency components of protein density maps to enhance global coherence
and local structural detail. In the validation stage, a pose-consistency projection strategy evaluates the
generated maps by comparison with the original 2D particles. Experiments on integrin 𝛼V𝛽8, T50S ribosome,
and SARS-CoV-2 spike datasets demonstrate that our method produces high-quality density maps, identifies
rare conformations, and reconstructs plausible intermediates, while ablation studies confirm the benefits of
frequency separation and parameter optimization. This integrated generative–validation framework improves
resolution, enhances rare conformation detection, and offers a data-driven approach to explore conformational
heterogeneity in complex biomolecular systems.

== Keywords ==

== Links ==

https://www.sciencedirect.com/science/article/pii/S1047847726000274

== Related software ==

== Related methods ==

== Comments ==

2026Chen 3DDF-VAE - Revision history