CryoREAD provides fully automated DNA-RNA structure modeling for cryo-EM maps

被引：0
|
作者：
不详
机构：
来源：
NATURE METHODS | 2023年 / 20卷 / 11期
关键词：
D O I：
10.1038/s41592-023-02033-4
中图分类号：
Q5 [生物化学];
学科分类号：
071010 ; 081704 ;
摘要：
CryoREAD automatically builds DNA-RNA atomic structure from cryo-EM maps. Backbone accuracy is typically >85% and the method is applicable for maps with RNA-only, DNA-only and DNA-RNA-protein complex structures. CryoREAD uses deep learning to identify structure information and subsequently construct the 3D structure of nucleic acids.
引用
收藏
页码：1637 / 1638
页数：2
相关论文
共 50 条
  • [1] CryoREAD provides fully automated DNA–RNA structure modeling for cryo-EM maps
    Nature Methods, 2023, 20 : 1637 - 1638
  • [2] DeepMainmast and cryoREAD: Protein and DNA/RNA structure modeling for cryo-EM using deep learning
    Terashi, Genki
    Wang, Xiao
    Nakamura, Tsukasa
    Kihara, Daisuke
    BIOPHYSICAL JOURNAL, 2024, 123 (03) : 133A - 133A
  • [3] Automated atomic modeling in cryo-EM maps
    Singh, Arunima
    NATURE METHODS, 2024, 21 (05) : 749 - 749
  • [4] CryoREAD: de novo structure modeling for nucleic acids in cryo-EM maps using deep learning
    Xiao Wang
    Genki Terashi
    Daisuke Kihara
    Nature Methods, 2023, 20 : 1739 - 1747
  • [5] CryoREAD: de novo structure modeling for nucleic acids in cryo-EM maps using deep learning
    Wang, Xiao
    Terashi, Genki
    Kihara, Daisuke
    NATURE METHODS, 2023, 20 (11) : 1739 - 1747
  • [6] Fast and automated protein-DNA/RNA macromolecular complex modeling from cryo-EM maps
    Nakamura, Andrew
    Meng, Hanze
    Zhao, Minglei
    Wang, Fengbin
    Hou, Jie
    Cao, Renzhi
    Si, Dong
    BRIEFINGS IN BIOINFORMATICS, 2023, 24 (02)
  • [7] Practical Considerations for Atomistic Structure Modeling with Cryo-EM Maps
    Kim, Doo Nam
    Gront, Dominik
    Sanbonmatsu, Karissa Y.
    JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2020, 60 (05) : 2436 - 2442
  • [8] Automated detection and de novo structure modeling of nucleic acids from cryo-EM maps
    Li, Tao
    Cao, Hong
    He, Jiahua
    Huang, Sheng-You
    NATURE COMMUNICATIONS, 2024, 15 (01)
  • [9] Automated Threshold Selection for Cryo-EM Density Maps
    Pfab, Jonas
    Si, Dong
    ACM-BCB'19: PROCEEDINGS OF THE 10TH ACM INTERNATIONAL CONFERENCE ON BIOINFORMATICS, COMPUTATIONAL BIOLOGY AND HEALTH INFORMATICS, 2019, : 161 - 166
  • [10] Advancing structure modeling from cryo-EM maps with deep learning
    Li, Shu
    Terashi, Genki
    Zhang, Zicong
    Kihara, Daisuke
    BIOCHEMICAL SOCIETY TRANSACTIONS, 2025,
12345