WikiSysop: Created page with "== Citation == Wang, Xiao / Terashi, Genki / Kihara, Daisuke. CryoREAD: De novo structure modeling for nucleic acids in cryo-EM maps using deep learning. 2023. Nature Methods..."

2024-01-09T08:28:01Z

Created page with "== Citation == Wang, Xiao / Terashi, Genki / Kihara, Daisuke. CryoREAD: De novo structure modeling for nucleic acids in cryo-EM maps using deep learning. 2023. Nature Methods..."

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== Citation ==

Wang, Xiao / Terashi, Genki / Kihara, Daisuke. CryoREAD: De novo structure modeling for nucleic acids in cryo-EM maps using deep learning. 2023. Nature Methods, Vol. 20, No. 11, p. 1739-1747

== Abstract ==

DNA and RNA play fundamental roles in various cellular processes,
where their three-dimensional structures provide information critical to
understanding the molecular mechanisms of their functions. Although
an increasing number of nucleic acid structures and their complexes with
proteins are determined by cryogenic electron microscopy (cryo-EM),
structure modeling for DNA and RNA remains challenging particularly when
the map is determined at a resolution coarser than atomic level. Moreover,
computational methods for nucleic acid structure modeling are relatively
scarce. Here, we present CryoREAD, a fully automated de novo DNA/
RNA atomic structure modeling method using deep learning. CryoREAD
identifies phosphate, sugar and base positions in a cryo-EM map using deep
learning, which are traced and modeled into a three-dimensional structure.
When tested on cryo-EM maps determined at 2.0 to 5.0 Å resolution,
CryoREAD built substantially more accurate models than existing methods.
We also applied the method to cryo-EM maps of biomolecular complexes in
severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).

== Keywords ==

== Links ==

https://www.nature.com/articles/s41592-023-02032-5

== Related software ==

== Related methods ==

== Comments ==

2023Wang CryoREAD - Revision history

WikiSysop: Created page with "== Citation == Wang, Xiao / Terashi, Genki / Kihara, Daisuke. CryoREAD: De novo structure modeling for nucleic acids in cryo-EM maps using deep learning. 2023. Nature Methods..."