WikiSysop: Created page with "== Citation == Dai, M. / Dong, Z. / Xu, K. / Zhang, Q. C. CryoRes: Local Resolution Estimation ofCryo-EM Density Maps by Deep Learning. 2023. J. Molecular Biology, Vol. 435,..."

2023-08-11T07:07:16Z

Created page with "== Citation == Dai, M. / Dong, Z. / Xu, K. / Zhang, Q. C. CryoRes: Local Resolution Estimation ofCryo-EM Density Maps by Deep Learning. 2023. J. Molecular Biology, Vol. 435,..."

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== Citation ==

Dai, M. / Dong, Z. / Xu, K. / Zhang, Q. C. CryoRes: Local Resolution Estimation ofCryo-EM Density Maps by Deep Learning. 2023. J. Molecular Biology, Vol. 435, p. 168059

== Abstract ==

Recent progress in cryo-EM research has ignited a revolution in biological macromolecule structure determination.
Resolution is an essential parameter for quality assessment of a cryo-EM density map, and it is
known that resolution varies in different regions of a map. Currently available methods for local resolution
estimation require manual adjustment of parameters and in some cases necessitate acquisition or de
novo generation of so-called “half maps”. Here, we developed CryoRes, a deep-learning algorithm to estimate
local resolution directly from a single final cryo-EM density map, specifically by learning resolutionaware
patterns of density map voxels through supervised training on a large dataset comprising 1,174
experimental cryo-EM density maps. CryoRes significantly outperforms all of the state-of-the-art competing
resolution estimation methods, achieving an average RMSE of 2.26 A for local resolution estimation
relative to the currently most reliable FSC-based method blocres, yet requiring only the single final map as
input. Further, CryoRes is able to generate a molecular mask for each map, with accuracy 12.12% higher
than the masks generated by ResMap. CryoRes is ultra-fast, fully automatic, parameter-free, applicable to
cryo-EM subtomogram data, and freely available at https://cryores.zhanglab.net.

== Keywords ==

== Links ==

https://www.sciencedirect.com/science/article/pii/S0022283623001158

== Related software ==

== Related methods ==

== Comments ==

2023Dai CryoRes - Revision history

WikiSysop: Created page with "== Citation == Dai, M. / Dong, Z. / Xu, K. / Zhang, Q. C. CryoRes: Local Resolution Estimation ofCryo-EM Density Maps by Deep Learning. 2023. J. Molecular Biology, Vol. 435,..."