WikiSysop: Created page with "== Citation == He, Jiahua / Li, Tao / Huang, Sheng-You. Improvement of cryo-EM maps by simultaneous local and non-local deep learning. 2023. Nature Communications, Vol. 14, N..."

2023-09-01T12:15:37Z

Created page with "== Citation == He, Jiahua / Li, Tao / Huang, Sheng-You. Improvement of cryo-EM maps by simultaneous local and non-local deep learning. 2023. Nature Communications, Vol. 14, N..."

New page

== Citation ==

He, Jiahua / Li, Tao / Huang, Sheng-You. Improvement of cryo-EM maps by simultaneous local and non-local deep learning. 2023. Nature Communications, Vol. 14, No. 1, p. 3217

== Abstract ==

Cryo-EM has emerged as the most important technique for structure determination
of macromolecular complexes. However, raw cryo-EM maps often
exhibit loss of contrast at high resolution and heterogeneity over the entire
map. As such, various post-processing methods have been proposed to
improve cryo-EM maps. Nevertheless, it is still challenging to improve both the
quality and interpretability of EMmaps. Addressing the challenge,we present a
three-dimensional Swin-Conv-UNet-based deep learning framework to
improve cryo-EM maps, named EMReady, by not only implementing both local
and non-local modeling modules in a multiscale UNet architecture but also
simultaneously minimizing the local smooth L1 distance and maximizing the
non-local structural similarity between processed experimental and simulated
target maps in the loss function. EMReady was extensively evaluated on
diverse test sets of 110 primary cryo-EM maps and 25 pairs of half-maps at
3.0–6.0 Å resolutions, and compared with five state-of-the-art map postprocessing
methods. It is shown that EMReady can not only robustly enhance
the quality of cryo-EM maps in terms of map-model correlations, but also
improve the interpretability of the maps in automatic de novo model building.

== Keywords ==

== Links ==

https://www.nature.com/articles/s41467-023-39031-1

== Related software ==

== Related methods ==

== Comments ==

2023He EMReady - Revision history

WikiSysop: Created page with "== Citation == He, Jiahua / Li, Tao / Huang, Sheng-You. Improvement of cryo-EM maps by simultaneous local and non-local deep learning. 2023. Nature Communications, Vol. 14, N..."